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Documentation of statistics: Home to work commuting

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Commuting 2016 , Previous versions, The purpose of the RAS statistic is to provide a description of the Danish population's commuting and distance between place of residence and work place. The commuting statistic has been published since 1984. The distance between residence and work place was first published in 2006. The statistic is in the current form comparable from 2008 and forward. , Statistical presentation, The statistic is an annually and individual based count of the employed persons commuting between residence and work place in the last working day in November. Including a calculation of the distance between the commuters residence and work place i kilometers (km). The commuting statistic is published in the Statbank where the statistic besides from residence, work place and commuting distance also is divided on sex, industry (DB07) and socioeconomic status. Data is also available trough the Division of Research Services and DST Consulting., Read more about statistical presentation, Statistical processing, The commuting statistic is compiled on the register-based labour force statistic (RAS), which is based on the Labour Market Account (LMA) - a longitudinal register. A comprehensive data validation is done in the production of AMR. RAS is done by taking a status (on the populations primary attachment to the labour market) on the last working day in November based on LMA. Based on the information about the address of residence and workplace for employed persons the commuting distance is calculated. , Read more about statistical processing, Relevance, The statistic is relevant for users interested in mobility on the labour market and the data foundation makes it possible to connect detailed information for analysis. , Read more about relevance, Accuracy and reliability, The commuting statistic is compiled from RAS which is used to present the primary connection to the labour market for people resident in Denmark. RAS contains a series of data sources that are integrated, debugged and harmonized. RAS does therefore not contain the same uncertainties as statistics based on samplings. , The definition of the primary job for employed persons is source to uncertainty in the commuting statistic, since the workplace address for the primary job and the address of residence is the foundation for the calculation of the commuting distance. It is also important to be aware that the calculated commuting distance reflects an ideal situation where every person is believed to travel from residence to workplace by the shortest route and by car. , Read more about accuracy and reliability, Timeliness and punctuality, The commuting statistic is published approximately 17 months after the reference point in time. The date of publication, which is normally complied without delay, is defined more than a year ahead. , Read more about timeliness and punctuality, Comparability, The statistic is published since 1984, and is in the current shape comparable from 2008 and forward. The statistic shows commuting within and across municipalities in Denmark, and the data foundation is based on administrative registers with national features. It is therefore difficult to compare the statistic internationally. , New and better data foundations and changes in the labour market have caused a number of data breaks over time, which have influence on the possibility of comparing data over time. , Read more about comparability, Accessibility and clarity, The statistic is 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 , Commuting from home, and , Commuting to workplace, . For further information, go to the subject page for , Commuting, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-to-work-commuting

Documentation of statistics

Documentation of statistics: Local Government Personal Income Taxation and Church Tax

Contact info, Government Finances , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Local Government Personal Income Taxation and Church Tax 2025 , Previous versions, Local Government Personal Income Taxation and Church Tax 2024, Local Government Personal Income Taxation and Church Tax 2023, Local Government Personal Income Taxation and Church Tax 2022, Local Government Personal Income Taxation and Church Tax 2021, Local Government Personal Income Taxation and Church Tax 2015, Local Government Personal Income Taxation and Church Tax 2014, The purpose of Local government personal income taxation and church tax is information on the development in these taxes as they are decided by the local governments by the 15th of October the year before the relevant income year. The Statistics was first time published in 1927, but in its current form the statistics covers and is comparable from 2007., Statistical presentation, The statistics show the development in local government personal income tax rates and church tax rates as determined by the local authorities in each municipality., Read more about statistical presentation, Statistical processing, The statistics is based on reports from the local authorities to the Ministry of the Interior. The published budget figures also form the basis for the amount of advance payments transferred from the central government to the municipalities. The collected material is validated against last year’s data as well as information regarding which municipalities have changed their tax rates. There are no further corrections of data., 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 gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics have no sources of statistical uncertainty of importance. This is because local government income taxes is determined by a financial agreement between Local Government Denmark (KL) and the government. Afterwards, both KL and the Ministry of the Interior check and verify the numbers. It is not allowed to make changes the foundation for the local government income taxes once it have been approved, which is also why there are no revisions of the statistics., Read more about accuracy and reliability, Timeliness and punctuality, Data are published in the end of November in the year before the income year. The statistics only contain final figures. The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, The statistics was published for the first time in 1927. However, changes to both the municipality as well as country structure makes the comparison across time difficult. The current structure makes it possible to compare from 2007 and onwards. The taxation systems differ widely across countries, which makes the geographical comparison difficult based on national sources because of concept and calculation differences., 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. For further information, go to the subject page for , taxes and duties, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/local-government-personal-income-taxation-and-church-tax

Documentation of statistics

Documentation of statistics: Personal income taxes

Contact info, Government Finances , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Personal income taxes 2023 , Previous versions, 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 September. 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, three 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

Documentation of statistics: Real property taxes

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Real property taxes 2024 , Previous versions, Real property taxes 2023, Real property taxes 2022, Real property taxes 2021, Real property taxes 2020, Taxation of Real Property 2014, Taxation of Real Property 2013, The purpose of the statistics Property Taxation is to show the development in property taxes and their allocation to municipalities. The detailed property tax statistics has existed since 1937. Before 1937, property tax statistics was also published statistics on property taxation, albeit at a more aggregated basis. The current form of the statistics is comparable from 2007 and onwards., Statistical presentation, The statistics are a yearly overview of the Danish property taxation. The statistics show the distribution of property taxes to municipalities as well as type of tax (land tax and reimbursement duties). , Read more about statistical presentation, Statistical processing, The statistics is based on data from the Property Statistics Register. The register is based on information from two sources: an assessment part from the Danish Property Assessment Agency and a tax part from KMD. The data is validated against last year's data and against budget figures for the given year, as well as information on which municipalities that has changed their land tax rate. Data are used without further treatment for the publication., 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 gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics has only a few sources for uncertainty. Property Statistics Register, which is the foundation for the finalized numbers, consists of two sources: an assessment part from the Danish Property Assessment Agency and a tax part from KMD. Since the parts are not updated at the same time, there may be slight discrepancies in the data between the two parts. The official real estate valuations also causes some uncertainty. This is because these valuations, which is the basis for computing the valuation (public assessment) and land value, have been frozen since 2013. , Read more about accuracy and reliability, Timeliness and punctuality, The Statistics are published yearly in November in the income year, where final data is published. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The census has been conducted since 1937, but changes in municipal and county compositions makes comparisons over time difficult. However, in its current form the statistics is comparable from 2007 and onwards. The taxation systems differ widely across countries, which makes the international comparison difficult based on national sources because of concept and calculation differences. The statistics is the basis for determining the property taxes in government finance statistics. , 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 , Real property taxes, . Information about the statistics can be found on the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/real-property-taxes

Documentation of statistics

R-training in Georgia

In Georgia there is definitely something to celebrate! Despite difficulties coming from the new COVID19-normal, 22 participants have just completed their first training in the IT software ‘R’ at the Georgian National Statistical Office (GeoStat) as part of the EU Twinning project. A success assigned to coordination and cooperation across different sectors and domains with multiple partners and interest groups., 18 May 2021 8:00 ,  , An IT review and a discussion with Expertise France... , EU Twinning projects run with a specific set of objectives and clearly defined activities. But in GeoStat something more is bustling as an IT review combined with an ongoing coordination across projects has led to supplementary and essential goals to be pursued., Georgia - table with gear ready for Covid19 and online meeting. , Photo: Steen B. Pedersen,  , IT-resources are scarce in GeoStat why an IT-sector review led by the , UN Economic Commission on Europe (, UNECE), which the Twinning project was invited to take part in, encouraged them to develop an IT-training strategy for both IT and statistical staff. Training of IT staff will raise the skills and competence level of staff and in the long run hopefully attract new IT staff to GeoStat. Training of statistical staff will on the other hand, loosen the pressure on IT-resources. , The IT-sector review also suggested that GeoStat considers alternatives to Excel and MS-Access for statistical production processes. And meanwhile, Twinning experts on different subject areas were working with colleagues from GeoStat on implementing new statistical products and procedures – and choosing IT software was an essential part of that work. Selecting a well-known solution would of course be the easiest on the short run, but this did not happen!  , The Resident Twinning Advisor and the Project leader from Expertise France implementing the EU funded project “Statistics for the Eastern Partnership” (STEP) had long been discussing opportunities for possible areas of cooperation and synergies between the two projects with ‘R’ being a top priority for cooperation. Now to build from the bricks of the IT-sector review and the parallel discussions around cooperation efforts, ‘R’ was instead added to both work plans and course materials with efforts to take the first steps towards implementing an open source software more systematically as an integrated part of the statistical production process.  , Conducting training in times of COVID19, Like so much else, COVID19 also challenges statistical capacity building across borders why the first R-mission in the frame of the Twinning project was conducted online. On a positive note, this allowed for more employees to participate compared to the original plan. 6 sessions, of three hours each, in a combination of plenary introductions and practical training in “breakout rooms” - covered subjects such as data manipulation, data visualisation and more advanced loops and function procedures. , The next training mission will be conducted during the summer 2021. Meanwhile GeoStat employees have the opportunity to test/put their newly adapted skills into practice.,  , # Facts , about the EU Twinning project:, Name: , Strengthening the capacity of the Georgian Statistical system, Partner: ,  , National Statistics Office of Georgia  & Statistics Denmark, Duration: , April 2019 – July 2021,  

https://www.dst.dk/en/consulting/news-from-international-consulting/2021/18-05-2021-R-training-in-Georgia

Documentation of statistics: Church Statistics

Contact info, Population and Education , Dorthe Larsen , +45 23 49 83 26 , DLA@dst.dk , Get documentation of statistics as pdf, Church Statistics 2017 , Previous versions, Church Statistics 2016, Church Statistics 2014, The statistics cover the people’s relation to the national church. Furthermore it accounts for the number of different religious ceremonies, among other baptisms, confirmations and funerals., The production of statistics on the national church was introduced in 1974. There have not been produced statistics on the national church for the years 2003-2006. For the years 1984-2002 statistics on recognized religious communities, their members and religious ceremonies corresponding to the religious ceremonies of the national church was also produced. , Statistical presentation, The statistics is produced for parishes, deaneries and dioceses., The basis for the statistics is partly data from the Central Population Register (CPR) and partly data on religious ceremonies reported from each parish. The data on religious ceremonies is received from the Ministry of Ecclesiastical Affairs., The statistics based on data from CPR concerns the number of members of the National Church, registrations and resignations as well as births and deaths., The statistics based on data from the Ministry of Ecclesiastical Affairs concerns baptism, confirmations, funerals, persons presented to the church, number of banns and religious blessings., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) and yearly delivery from the Ministry of Ecclesiastical Affairs is basis for the statistics., Data is not checked for errors., Read more about statistical processing, Relevance, The Ministry of Ecclesiastical Affairs, interest groups within the ecclesiastical area and the media are using the statistics for public and private planning 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., The the data from the Ministry of Ecclesiastical Affairs is also considered to be of high quality. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics concerning the National Church is published app. 45 days after the end of the year., Read more about timeliness and punctuality, Comparability, The statistics on the National Church has been produced since 1974. Until 1984 the statistics were exclusively based on data from the the Central Personal Register (CPR) while the statistics for the years 1984-2002 have been supplemented with a survey on the recognized religious communities. In this period the statistics is comparable. For certain main figures comparable time series from 1980 were disseminated., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release and are presented in the , Statistical Yearbook, . In the Statbank these statistics can be found under the subjects , Members of the National Church, and , Religious ceremonies, . For further information go to the subject pages for , Members of the National Church, and , Religious ceremonies, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/church-statistics

Documentation of statistics

Documentation of statistics: Climate footprint (experimental statistics)

Contact info, National Accounts, Climate and Environment , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Climate footprint (experimental statistics) 2021 , Previous versions, The purpose of the statistics is to measure the global emission of greenhouse gases from the supply chains for Danish final use (Danish consumption, investment and export). It illustrates correlations between Danish final use and emissions of greenhouse gases from Danish and international production. Global emission of greenhouse gases from Danish consumption and investment constitutes Denmark's Climate Footprint. The statistic is experimental and have been prepared since 2021 in collaboration with the Danish Energy Agency, which uses it for the annual publication "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Statistical presentation, The statistics show the amount of greenhouse gas that has been emitted in the supply chains for Danish final use annually from 1990 onwards. The emissions are distributed by type of final use, emitting industries and countries, as well as by supplying industries., Read more about statistical presentation, Statistical processing, The climate footprint is calculated with a multi-regional environmental economic input-output (MRIO) model that links data from Statistics Denmark on Danish production and greenhouse gas emissions with data from the international database EXIOBASE on international production and greenhouse gas emissions., Read more about statistical processing, Relevance, The climate footprint is relevant for everyone who is interested in relations between Danish consumption and investment and global emissions of greenhouse gases. The climate footprint is prepared in collaboration with the Danish Energy Agency's Center for System Analysis, which uses it in their annual report "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Read more about relevance, Accuracy and reliability, The overall precision of the statistics is not as high as other statistics from Statistics Denmark, which are based on directly observable data. The majority of the figures in this statistic are the result of calculations with Danish and international input-output models. The international input-output model in particular is uncertain because it is a compilation of figures from many countries of uneven quality. However, it is assessed that the precision is as good as it can be at the present time, when available sources and methods are taken into account., Read more about accuracy and reliability, Timeliness and punctuality, The climate footprint is an experimental statistic and does not yet have a fixed publication time. When a publication date is determined, it is published in Statistics Denmark's publication calendar., Read more about timeliness and punctuality, Comparability, The statistics are compiled for 1990 and onwards and are comparable over time. The statistics have been produced in collaboration with the Danish Energy Agency and are used for the Danish Energy Agency's report "Danmarks Globale Klimapåvirkning – Global Afrapportering". there will therefore be full agreement between results published by the Danish Energy Agency and Statistics Denmark., As there is not yet full international agreement on methods and data bases for calculating climate footprints, there will not necessarily be full comparability with the calculations of other institutions or other countries., Read more about comparability, Accessibility and clarity, In the Statbank, the climate footprint is published under the subject , Energy and emissions, in the tables AFTRYK1 and AFTRYK2., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/climate-footprint--experimental-statistics-

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

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