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    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

    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.,  

    https://www.dst.dk/en/presse/kildeangivelse

    Statistics on the Danish national grid

    Analyse geographical areas with the Danish national grid, The Danish national grid, which was established by Statistics Denmark and the Danish Geodata Agency, divides the country into thousands of cells, which can be filled with statistics. You can then analyse and aggregate the information in the grid e.g. for use in market analyses, for local planning or for research., Detailed content that is stable over time, The grid is stable over time, unlike administrative divisions such as municipalities, postcodes and parishes. We provide data on grid cells as small as 100 x 100 meter. Provided our requirements for non-identification of individuals or companies can be met (Privacy Requirements). Contact us if you need a different cell size., Below you can see an example of statistics on the grid. The map shows how many people live within each square kilometer (text in Danish only)., Number of inhabitants by 1 square kilometer cells, Attach population statistics to the cells, Statistics Denmark offers several types of statistics on the Danish national grid e.g. by municipalities, regions or the entire country., Statistics on the nighttime population, Here you will find information on the number of households and persons residing within the cells., Documentation - nighttime population, Table example - nighttime population., Statistics on the daytime population, Here you will find information about the number of people staying in the cells during the daytime. You can order two different datasets - one with the number of people in employment and one with the number of students., Documentation - daytime population - employed, Table example - daytime population - employed, Documentation - daytime population - studentst, Table example - daytime population - students, Statistics by other variables, Here you get statistics on the people who reside in the cells of the grid distributed by a number of variables for you to choose. See the overview and read more about standard variables in the documentation document below., List of variables - the Danish national grid, Prices, The Danish National Grid does not cost anything in itself. However, you can find the detailed price list for deliveries of statistics on the grid here:, Pricelist_National_Grid_2026 - English, Privacy Requirements, If you buy statistics from us, we are very careful to comply with the so-called discretionary - or privacy requirements. In practice, this means that we require a certain minimum number of households in each grid cell. The requirements are either 50, 100 or 150 households, depending on the statistical variable you have selected. Cells with a smaller number of households than the minimum requirement must be aggregated with other cells before statistics can be delivered. The merged cells are called clusters. You can read more about how we produce clusters here:, Fact Sheet about clusters, Fact sheet about clusters, You can find the requirements for number of households in the list of variables below:, List of variables - the Danish national grid, Ordering, To order statistics on the Danish National Grid, please click on the button below and fill out the form. We will then prepare an offer that you must approve., ORDER, Contact information, DST Consulting, tel +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics based on distances or neighbourhoods, Statistics based on roads and streets,  

    https://www.dst.dk/en/TilSalg/produkter/geodata/kvadratnet

    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.

    https://www.dst.dk/en/OmDS/kvalitet-og-styring/kvalitet-for-statistikproduktion/formidlingspolitik

    Bosnia-Herzegovina 2024-2026

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

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