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Documentation of statistics: Maritime Transport over Danish Ports

Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , HSN@dst.dk , Get documentation of statistics as pdf, Maritime Transport over Danish Ports 2025 Quarter 1 , Previous versions, Maritime Transport over Danish Ports 2024 Quarter 1, Maritime Transport over Danish Ports 2023 Quarter 1, Maritime Transport over Danish Ports 2022 Quarter 1, Maritime Transport over Danish Ports 2021 Quarter 4, Maritime Transport over Danish Ports 2021 Quarter 3, Maritime Transport over Danish Ports 2021 Quarter 2, Maritime Transport over Danish Ports 2021 Quarter 1, Maritime Transport over Danish Ports 2020 Quarter 4, Maritime Transport over Danish Ports 2020 Quarter 3, Maritime Transport over Danish Ports 2020 Quarter 2, Maritime Transport over Danish Ports 2020 Quarter 1, Maritime Transport over Danish Ports 2019 Quarter 4, Maritime Transport over Danish Ports 2019 Quarter 3, Maritime Transport over Danish Ports (Quaterly) 2019 Quarter 2, Maritime Transport over Danish Ports 2019 Quarter 1, Maritime Transport over Danish Ports 2018 Quarter 4, Maritime Transport over Danish Ports 2018 Quarter 3, Maritime Transport over Danish Ports 2018 Quarter 2, Maritime Transport over Danish Ports 2018 Quarter 1, Maritime Transport over Danish Ports 2017 Quarter 4, Maritime Transport over Danish Ports 2017 Quarter 3, Maritime Transport over Danish Ports 2017 Quarter 2, Maritime Transport over Danish Ports 2017 Quarter 1, Maritime Transport over Danish Ports 2016 Quarter 4, Maritime Transport over Danish Ports 2016 Quarter 3, Maritime Transport over Danish Ports 2016 Quarter 2, Maritime Transport over Danish Ports 2015 Quarter 4, Maritime Transport over Danish Ports 2015 Quarter 3, Maritime Transport over Danish Ports 2014 Quarter 3, The purpose of statistics on maritime transport over Danish ports is to describe the volume of and the development in ship traffic to and from Danish ports as well as data on port infrastructure. Also data on accidents on sea on board Danish vessels and in Danish sea territory are published., The statistics have been compiled in the present form since 1997. Maritime statistics have been produced since 1834 and published annually from about 1900. In the period from 1991 to 1996, Statistics Denmark compiled only summary statistics on the throughput of ports., Statistical presentation, The main variables in the statistics are: Calls at port, type of ship, size of ship, flag state, port of loading/unloading, weight of goods and type of goods and passengers., The statistics are based on two separate data collections: Maritime traffic on larger Danish ports (quarterly) and Maritime traffic on minor Danish ports (annually). It is supplemented with data from Ferries and Passenger ships (quarterly)., Annual data on accidents at sea are collected from the Danish Maritime Authority., Data on investments in ports are received from the National Accounts in Statistics Denmark., Read more about statistical presentation, Statistical processing, Annual statistics cover all Danish ports handling goods or passengers. Quarterly statistics cover only major ports., The statistics are collected through a spreadsheet solution via the data collection portal, http://www.Virk.dk. Response rate is 100 percent., Data are validated for the correct use of codes and classifications and for internal consistency within each report. Furthermore the development over time is validated at both micro and macro level., Read more about statistical processing, Relevance, The statistics are used by the ports themselves, Eurostat and other parts of the EU-commission, ministries, organisations, researchers and in general to monitor the goods transport activity in Danish ports and to develop transport statistics., Read more about relevance, Accuracy and reliability, Maritime statistics are based on censuses among all goods handling ports. The majority of data stems from the quarterly reports from all major ports. The data from the remaining minor ports are summarised annual data. On the main variables there is full coverage and accurate within 3 percent. Minor revision occur without systematic bias., Read more about accuracy and reliability, Timeliness and punctuality, Statistics are usually published around 70 days after the end of a quarter. Annual statistics are published around 130 days after the end of reference year. It is always published at the preannounced time., Read more about timeliness and punctuality, Comparability, The statistics are consistent from 2000 and onwards and directly comparable to similar statistics from other EU and EFTA member states., Read more about comparability, Accessibility and clarity, Maritime statistics are published annually in Nyt fra Danmarks Statistik (Statistical News)., Quarterly and annually data can be found in , http://www.Statbank.dk, ., Annual tables are published in Statistical Yearbook until 2017 and Statistical 10-year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/maritime-transport-over-danish-ports

Documentation of statistics

Documentation of statistics: Purchases and sales by enterprises

Contact info, Short Term Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Purchases and sales by enterprises 2024 , Previous versions, Purchases and sales by enterprises 2020, Purchases and sales by enterprises 2019, The purpose of the statistics Purchases and sales by enterprises is to monitor business cycles in Denmark, based on sales of enterprises. The statistics is based on information on value added tax (VAT) reported by the enterprises to the Danish Tax Authorities. , The statistics is compiled and disseminated monthly and provides a short-term status of Danish business economy. The statistics have been published with variation in calculation methods and frequencies, since value added tax (VAT) was introduces in Denmark in 1967. In its current form, the statistics is comparable from 2011 onwards., Statistical presentation, Purchases and sales by enterprises is a monthly statement of purchases and sales of goods and services. The Statement is calculated in millions (Danish kroner). The statement is calculated at industry level defined in the Danish Industrial Classification of All Economic Activities 2007 (DB07). In addition, the statistics are divided into domestic purchases and sales. , Read more about statistical presentation, Statistical processing, Data originates from the Danish Tax Agency’s VAT registers plus information from the Central Business Register (CVR). Missing reports are replaced with imputed values, which are values estimated for each missing report. Imputed values are provisional and removed when the enterprise has reported VAT to the Tax Agency or the enterprise's business status in the CVR register is updated as inactive. The report follows the enterprise's main industry. , Read more about statistical processing, Relevance, Users of the statistics are ministries, researchers, students and organizations. Used for e.g. analysis of business trends and market research. In Statistics Denmark, the statistic provides supporting information to e.g. the National Accounts and statistics on foreign trade. Data contribute to the Danish compliance with requirements in the European business statistics regulation regarding turnover on industries on service and trade. In order to comply with requirements, monthly turnover must be distributed to Kind of Activity Units (KAU). A model is used to split legal units into KAU. , Read more about relevance, Accuracy and reliability, The statistics is based on VAT, reported by enterprises to the Tax Agency. The precision is strengthened by the fact that all companies subject to VAT are included. It is weakened by too little information sales not subject to VAT, e.g. train tickets and recycled clothes. The reliability increases as the enterprises report and revise values. It's possible to revise up to three years after submission. Values are considered final after three years. The sales are used as an estimate for turnover. Please notes that turnover includes more than sales, e.g. revenue from investments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximate 40 days after the end of the reference period. The statistics contain a statement of sales that are subject to VAT. A statement of an enterprise's sales subject to VAT can be used as an estimate of the enterprise's turnover, which is why the statistics are used for short-term statistics on turnover. The publication date is announced at least 6 months in advance, and it is rare that a publication of the statistics is delayed. , Read more about timeliness and punctuality, Comparability, From 2010, the statistics are based on register data, the information on VAT that enterprise report to the Tax Agency. From the year 2010, data is comparable year to year, as it includes all enterprises that report VAT. The variable "salg i alt" can be used as estimate for the enterprises' net turnover and can be compared with the net turnover in other statistics, e.g. General Enterprise Statistics. When comparing, take into account the differences, for example which types of sales or revenue are included, whether excise duties are included, and whether smaller companies are included. , Read more about comparability, Accessibility and clarity, The statistics are published on the webpage , StatBank Denmark, under the topic Purchases and sales by Enterprises. Until December 2023, the statistics was published monthly in a Danish newsletter called NYT. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchases-and-sales-by-enterprises

Documentation of statistics

About microdata schemes

Denmark's Data Portal makes data available to authorised institutions for specific research, fact-finding and analytical tasks. Access to data can be granted under various data schemes depending on the institution or the project to which you seek access., The researcher scheme , Researchers and other analysts from authorised institutions can create a project with access to Statistics Denmark’s register data. , Read more about authorisation of institutions, The project database scheme , The project database scheme is intended for institutions that are continuously creating projects with significant overlap in data content. Under this scheme, it is not allowed to carry out research directly on the project database, and the scheme must not be used for projects or tasks that are not directly related to the purpose of the project database. Furthermore, the institution must have one or more employees at who can serve as project database managers, of whom at least one can functions as an administrator. The duties of the project database manager include population generation, data extraction etc. as well as ongoing communication with Statistics Denmark., If you want to apply for a project database to be set up, you must contact the Project database group at , FSEProjektdatabase@dst.dk, ., More on the project database scheme, An authorised institution can have a maximum of one project database. The project database is a collection of pseudonymised microdata. It is used over time for multiple projects (called subprojects) under the relevant project database scheme., For the project database, data is selected from Statistics Denmark’s databank of basic data and, if relevant, data from other sources (such as the institution’s own data). The data content in project databases is subject to the data minimisation principle, and for that reason, data in a project database must be applied in several subprojects., In the project database scheme, the project database is called the main project. Other projects in the project database scheme are subprojects of the project database. The authorised institution that owns the project database therefore owns both the main project and the subprojects in the scheme., The target group of the project database scheme is institutions that:, are authorised for microdata schemes at Statistics Denmark., have at least five active projects with significantly overlapping data., continuously extend their project portfolio with new subprojects with significant overlap in the underlying data., Terms of a project database scheme, Project databases are subject to the following terms:, The institution is required to appoint one to three experienced project database managers who will be the assigned liaison officers with Statistics Denmark. Only project database managers get access to the actual project database., The project database and subprojects are subject to the data minimisation principle., The user must pay for all costs associated with the creation, operation and maintenance of the relevant project database. Subprojects are considered regular projects and are handled and invoiced separately., You can keep a project database going for as long as it is used for active subprojects. The project database can only be preserved as long as it is used for subprojects to an extend that is consistent with the data made available in the project database. The project database can thus be limited or discontinued if Statistics Denmark estimates that this is no longer the case., The authority scheme, The authority scheme makes microdata available to Danish institutions that carry out tasks for the authorities, i.e. departments, agencies and directorates, regions and municipalities. The scheme meets the demand for ad hoc analyses with tight deadlines. , Read more about the Authority scheme,  (in Danish), Data confidentiality and access rules, Access to data is given in agreement with the principles of the General Data Protection Regulation, especially article 5(1)(c): , “Personal data shall be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed (‘data minimisation’).” , This also applies to section 10 of the Danish Data Protection Act: , “Data as mentioned in Article 9(1) and Article 10 of the General Data Protection Regulation may be processed where the processing takes place for the sole purpose of carrying out statistical or scientific studies of significant importance to society and where such processing is necessary in order to carry out these studies.” , Read more on Statistics Denmark’s Data confidentiality policy and Information security policy 

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

Registers and reference types

Statistics Denmark has gathered a vast series of historical register data in our databank of basic data, which users can access via the platform DDP App. Denmark’s Data Portal manages the databank of basic data and handles access to the platform, support, etc. Most registers in the databank are updated at least once a year in connection with release of the register-based statistics (, see Scheduled releases, ). , The data safari and the List of registers and variables (below) both show the registers in DDP App, and here you can see variables for the individual registers. The documentation of variables is available in Statistics Denmark’s , documentation system, ., Go to Data safari , Go to List of registers and variables (in Danish),  , Overview of rerun registers (in Danish), Genkørte registre 2025-3. kvt (pdf), Genkørte registre 2025-2. kvt (pdf), Genkørte registre 2025-1. kvt (pdf), Genkørte registre 2024-4. kvt (pdf), Genkørte registre 2024-3. kvt (pdf), Genkørte registre 2024-2. kvt (pdf), Genkørte registre 2024 - 1. kvt (pdf), Genkørte registre 2023 - 4. kvt (pdf), Genkørte registre 2023 - 3. kvt (pdf), Genkørte registre 2023 - 2. kvt (pdf) , Genkørte registre 2023 - 1. kvt (pdf), Genkørte registre 2022 (pdf),  , Reference types, Registers in the basic data overview are compiled by means of different reference types. Next to each register in the basic data overview, you can see which reference type a register has: ’Status’, ’Statusperiode’ (status period), ’Forløb’ (longitudinal) or ’Hændelse’ (incident)., Status, The reference type shows the status for a given date. For example, LONN (structure of earnings), which shows what a citizen earns as of the register date (e.g. 31 December 2021). Or BEF, which shows the population as of the quarter date (including status of residence, age, family, etc.)., Data definition: Clear status as of a given date. The population delimitation and all data content is focused on the date., Status period, This reference type shows the period status, where the population is delimited as of a given date, but the variables contain summed up data for a specific period. For example, IND, which contains the labour income for a year (the period appears from ’Opdateringsfrekvens’ (update frequency) in the basic data overview). Other examples of status period registers: PERSBEST (board members and managers), MFR (medical birth register), HANDICB (financial support for disability cars), DMRB (motor vehicles). It is not always easy to see what is being summed up., Data definition: The population delimitation is made as of a given date, but the content of the variables is accumulated over a given period. The period cannot be deduced from dates in microdata, but from the indicated period (shown under ‘Opdateringsfrekvens’ (update frequency)) – meaning that content in for example amounts, volumes, quantities etc. is aggregated over the indicated period (e.g. a quarter, a year)., Longitudinal, Here, data covers a longitudinal study. There will always be just one version of the register available. For example, UDD, which contains Highest educational attainment. Or BEFADR, which is an address key register (where e.g. 1.4m addresses changed key on 1 January 2007 in connection with the local government reform). When a longitudinal register is updated, the individual dataset is updated. This is why there is always only one dataset for a longitudinal register., Data definition: The definition of longitudinal data is that data contains a start date and an end date., Incident, Here, data covers an incident. For example, UDFK, which contains primary and lower secondary school marks (does not include a date but a school year), or OPHGIN (basis of right of residence for immigrants). When a longitudinal register is updated, the individual dataset is updated with new incidents. This is why there is always only one dataset., Data definition: The definition of incidents is first and foremost that data contains a date - only one date - for the occurrence of the incident, and will usually also have one incident type attached., Documentation for the use of registers and data packages, Statistics Denmark has prepared a memo describing the coherence between several of the most used registers in Statistics Denmark’s microdata scheme and their connection with the published statistics., The social statistics registers in Statistics Denmark consist of comprehensive data collections, which have been built and extended since the early 1980s. Data is of high quality and comprises the whole population. This gives the users of data unique possibilities of analysis, allowing them to analyse both status at a given point in time and the development over time., The memo is primarily intended for researchers, analysts and other users of microdata who want to obtain deeper insight into the quality of the coherence between the different registers. , Read more on Documentation for the use of registers (in Danish), Datapackages (pdf - in Danish), Especially on the Data Warehouse for Business Statistics, In January 2024, Statistics Denmark launched the new Data Warehouse for Business Statistics – a significant extension and improvement of the existing business registers. , The new warehouse ensures wider and better access to anonymised data on enterprises and facilitates extraction of unique data by linking data across more statistical registers. The data warehouse also facilitates linking of business statistics and social statistics at micro level, the so-called ‘Linked Employer-Employee Data’ (LEED). , Read more in , this brochure (pdf), or see , the presentationen of The Data Warehouse for Business Statistics on 30 November 2023 (pdf), .

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/registre-og-referencetyper

Population description

In the project proposal, you must describe the population shortly and precisely (without technical terms, details or data specifications), and document who creates the population. You do so under the population description in the DDP App. , Private institutions are able to create the population themselves and get a full register extraction if the project is surveying a major group of entities. To get a full register extraction, private institutions must give reasons for this need based on the size of the population. ,  , When Denmark’s Data Portal must create the population, If Denmark’s Data Portal is going to create the population for your project, this is done on the basis of a framework agreement. Under the population description in the DDP App, you describe the population shortly and precisely (without involving technical details) and add that Statistics Denmark is going to create the population. When Denmark’s Data Portal have received the project proposal, they will contact you about the creation of the population. , Examples of population descriptions:, `The population consists of all persons who have been hospitalised with asthma, which is matched with five controls on sex and birth year per case. The controls must be alive and be residing in Denmark on the index data of the case. Statistics Denmark creates the population.', `The population consists of persons who have had residence permits as refugees, and family members reunited with refugees. Statistics Denmark creates the population.', Framework agreement for extraction description and population creation , Denmark’s Data Portal prepares a framework agreement, which covers counselling regarding the extraction description as well as the subsequent population creation. Based on the framework agreement, we prepare a detailed extraction description in collaboration with the relevant institution. Denmark’s Data Portal uses the extraction description for the final population creation. Based on the institution's criteria and needs regarding the population, we give advice on which registers, variables and variable values that are necessary to create the wanted population. The final extraction description is attached as an appendix to the project proposal. When the extraction description is ready, Denmark’s Data Portal creates the population for the project., How to make the extraction description for the population?, The following elements must be uncovered for the extraction description:, Registers or external data to be used, Periods, including if you want to use registers that are updated annually, quarterly or monthly (for example, BEF (population) is updated quarterly), Conditions based on specific variables and delimitation on specific variable values (for example, if the population must be delimited by age from 15-76 years), How registers must be linked (if several registers are applied), including linking based on specific variables and, if relevant, key register,  , Especially about case control populations , Denmark’s Data Portal uses the term 'case control populations' for analyses where cases (e.g. exposed) are compared with a reference group (controls). The term is used regardless of the type of study. Under the population description in the DDP App, enter a short and precise description of the criteria for cases and controls in the case control population, without involving technical details (including registers and variables). , In collaboration with Denmark’s Data Portal, a detailed extraction description of the case control population is prepared. The final extraction description is attached as an appendix to the project proposal. Please note that the DDP App only creates case control populations based on date and register criteria, not based on more complicated statistical methods such as for example Propensity Score Matching., How to make the extraction description for the case control population?, The following elements must be uncovered for the extraction description: , What characterises cases:, Registers, periods, conditions, and how registers are linked (see description below), If relevant, index date (for example date of first completed vocational education, first hospital discharge date), What characterises the pool of possible controls:, Registers to be used for creating the pool of possible controls, Inclusion and exclusion criteria based on specific variables and variable values (for example sex = 2 (women), municipality = 607 (Fredericia), residence in the period 01-01-2020 until 31-12-2023), Specific criteria for the case control population including:, How many controls are extracted per case?, Whether cases are allowed to be controls of other cases, If controls are allowed to change status in the inclusion period, Extraction with or without replacement: , is a control allowed to be used as a control for more than one case (replacement)?, or can a control only be a control for a specific case (without replacement)?

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

55,000 enumerators complete Moroccan Census 2024

Monday 30 September marked the final day of the 2024 General Census of Population and Housing in Morocco. , 4 October 2024 11:00 , By , Klaus Munch Haagensen, Throughout September, an impressive team of 55,000 enumerators, supervisors, and controllers - easily recognizable by their burgundy-coloured caps - took on the challenging task of gathering crucial data from every household across the country., The census was the seventh of its kind., Data were collected from households across the nation, including urban, rural, and even nomadic populations. The census aimed to gather comprehensive information on the demographic, social, and economic conditions of Morocco’s population. This operation also extended to housing conditions, providing essential data for national development planning., Wide Scope and Participation, The census included all residents within the Kingdom, regardless of nationality or residence status. This included individuals in ordinary households, nomads, the homeless, as well as those residing in institutions like hospitals and prisons. Foreigners living in Morocco were also counted, except for members of the diplomatic corps., To conduct the operation, over 55,000 individuals were mobilized as enumerators, controllers, and supervisors. Participants underwent extensive online and face-to-face training, ensuring that they were well-equipped to handle the intricacies of data collection., The census covered a range of important demographic and socio-economic factors, from household composition and education to health coverage, employment, and access to essential services. A dual questionnaire system was used: a short version for the entire population and a more detailed one for 20% of households., Harnessing Technology for Precision, For the first time, the census utilized advanced technology, including the deployment of 55,000 electronic tablets. These devices, co-financed by the Ministry of National Education, were key to ensuring accurate and timely data collection. The tablets were securely managed, with encryption systems in place to safeguard the collected data., The census also utilized Geographic Information Systems (GIS) to map the entire country, ensuring that no areas were overlooked. This involved geo-referencing 37,109 census districts and over 4.1 million buildings in urban areas. The mapping work not only facilitated efficient data collection but also provided valuable insights into the spatial distribution of Morocco's population and economic activities., Supporting Development and Strategic Planning, The data gathered through the census will be instrumental in shaping Morocco's future policies. The information will help authorities assess the needs of the population and allocate resources in areas such as education, healthcare, employment, and housing. Additionally, it will contribute to the monitoring of sustainable development goals and the evaluation of public policies at both the national and local levels., The High Commission for Planning, which oversaw the census, emphasized that this massive statistical operation is not just about counting people but also about understanding Morocco’s social fabric. The data will provide critical insights into the country's demographic trends, migration patterns, literacy rates, and languages spoken, helping to guide long-term strategic planning., The budget for the Census 2024 is estimated to MAD 1.46 billion - the equivalent to around 135 million Euro., Transparency and Security, In line with international standards, the census maintained strict confidentiality of personal data. The High Commission for Planning assured the public that the information collected would be used solely for statistical purposes and not for legal or economic enforcement. The use of encrypted systems and secure data transmission methods further guaranteed the protection of respondents' privacy., Looking Forward, Now that data collection has concluded, the next phase involves processing and analyzing the information, with preliminary results expected in the coming months., The 2024 General Population and Housing Census will serve as a foundational tool for planning, allowing the Kingdom to address challenges and opportunities in the future., Statistical cooperation between Morocco and Denmark, For the past five years, Statistics Denmark has collaborated with Morocco's Haut-Commissariat au Plan (HCP), fostering a valuable exchange of best practices in statistics and digitalization. This partnership has involved joint efforts in IT, data management, and data quality improvement. During the census kick-off press conference in August, Moroccan Chief Statistician, His Excellency Minister Lahlimi, emphasized that the success of the highly digitalized RGPH 2024 would not have been possible without this vital cooperation., The collaboration between HCP and Statistics Denmark is financed by the Danish Ministry of Foreign Affairs under the Strategic Sector Cooperation Programme., You can read more about the project between HCP and Statistics Denmark here: , https://www.dst.dk/en/consulting/projects/morocco-2024-2026,  , Source: This news article is written by Klaus Munch Haagensen based on information from the HCP web site. 

https://www.dst.dk/en/consulting/news-from-international-consulting/2024/04-10-2024-55000-enumerators-complete-Moroccan-Census-2024

Statistics Denmark takes the lead in a new project in Jordan

A new Twinning-project financed by the European Union was launched in Amman, Jordan. The aim of the project is to strengthen Jordan’s Department of Statistics’ capacity in line with International and European best practices., 9 February 2023 13:00 ,  , February 06, Amman, - The European Union (EU) and Jordan’s Department of Statistics (DoS) launched today their Twinning Project on Statistics, which aims to strengthen the latter’s capacity in terms of compilation, analysis and reporting of statistical data in line with International and European best practices. ,  , In cooperation with DoS, the 1.5 million Euro project is being implemented by Statistics Denmark, the German Federal Statistical Office (Destatis), the Italian National Institute of Statistics (Istat), and Statistics Lithuania – State Data Agency, with support from Statistics Finland to implement the 24-month Twinning project on statistics., The Project underpin an increase of DoS capacity’s interactions with the EU and support in focusing directly on improving staff skills and enhancing more efficient processes and structure.,  , This Twinning project will focus on strengthening and developing Jordan’s business and population statistics in line with best international practices through the incorporation of administrative data sources. Furthermore, it aims to improve the statistical data the DoS produces by creating new, high-quality statistics with more detailed breakdown by geography and population. Finally, the project will focus on updating and strengthening current methodologies, particularly for survey-based data.,  , Participants in the launch of the twinning project.,  , The Technical Assistant to the Director General of the Jordanian Department of Statistics, Dr. Tayser Muqdadi, inaugurated the opening ceremony and emphasized the importance of the European Union and DoS partnership, as this is the second Twinning project that is being funded by the European Union in cooperation with DoS. And this demonstrates the growing partnership with the EU. In addition, he also stressed that “This project will contribute to the shared knowledge transfer process in order to enhance the department's capacity to provide precise and credible economic and social statistical data for policy and decision makers and researchers, and that is one of the reasons why twinning projects are crucial tools for EU delegations to transfer and localize European expertise in beneficiary countries according to European standards and best practices.”,  , Mr. Patrick Lambrechts, the First Counsellor and Head of Cooperation of the EU Delegation to Jordan, noted that the EU’s partnership with the DoS will allow Jordan to further adapt to statistical standards for official statistics. “Improving the accuracy of official statistics will assist policymakers in making decisions based on solid data from trustworthy sources.” Mr. Lambrechts added that the project focuses on laying the groundwork for the development of a fully integrated administrative data system by developing a Statistical Business Register. This will improve the quality of population estimates. Furthermore, the Twinning project will develop statistical methodologies for estimating small-area statistics on poverty., Director of Communication and Methodology, Statistics Denmark, The Director of Communication and Methodology Mr. Carsten Zangenberg from the leading Member State Institution, Statistics Denmark, initiated his speak by saying that that today is marking the beginning of a broad collaboration on best practice within a number of statistical disciplines between Department of Statistics in Jordan and five acknowledged National Statistical Institutions from EU.. Mr. Carsten Zangenberg further emphasized that users today have significantly more places to search for fact than before. Therefore, sound methodology as well as clear communication by providers of official statistics is increasingly essential. Mr. Carsten Zangenberg continued after a short break by giving a presentation on the use of administrative data for an improved statistical production with focus on challenges and benefits for National Statistical Institutions, data provider as wells as users. , The Vice president of the Federal Office of Statistics in Germany and Junior project leader Mr. Christoph Unger continued by talking about steps about a register-based census in Germany and highlighted the type of knowledge transfer that this project will adapt to regarding combined methods and the building-up of registers, and added ” without official statistics there would be no trust in statistics, there would be no evidence-based decision-making on the part of our politicians and governments, and our citizens would not trust that we protect their data and work with it in a responsible way for the benefit of society".,  , Mr. Peter, Bohnstedt, Anan Hansen,, Chief Advisor in International Consulting of Statistics Denmark and the Lead Member State Project Leader, and Eng. Mohammad Khalaf, Director of Sustainable Development Unit, Department of Statistics presented the implementation roadmap for the project in order to achieve the project's milestones and mandatory results through conducting training programs, specialized missions, workshops, and study visits which will develop the work of Jordan’s Department of Statistics. ,  , The event was attended by representatives from several Ministries, Public Departments, International Organizations and strategic partners of the DoS.,  

https://www.dst.dk/en/consulting/news-from-international-consulting/2023/09-02-2023-Statistics-Denmark-takes-the-lead-in-a-new-project-in-Jordan

Documentation of statistics

Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Business, Structure of business, Activities in small enterprises, Bankruptcies, Board members and managers, Business Demography, Compulsory Compositions (Discontinued), Enterprise Groups in Denmark, General Enterprise Statistics, High Growth Enterprises, ICT Use in Enterprises, ICT-Expenditure in Enterprises, Job Vacancies, Purchases and sales by enterprises, Quarterly Business Demography (QBD), Workplaces and jobs, Business economy, Accounts Statistics by Industry, Accounts Statistics for Non-Agricultural Private Sector, Activities of foundations, International labour cost indices (Discontinued), Labour Costs for Corporations and Organizations, Purchases and sales by enterprises, SME Access to Finance, Supplemental Accounts Statistics for Shipping (Discontinued), International enterprises, Danish Foreign Affiliates, Foreign Owned Enterprises, International organisation and outsourcing, Outsourcing by Danish Enterprises (Discontinued), Agriculture, horticulture and forestry, Accounts Statistics for Agriculture, Agricultural investments, Cattle, Cereal Prices used for Regulation of Land Rents, Economic Accounts for Agriculture, Economic Accounts for Agriculture (Discontinued), Economics of Agricultural Activities, Eggs Production, Farm Structure Survey, Felling of Wood in the Danish Forests, Fur animals production (Discontinued), Harvest of Cereals etc., Livestock production, Milk and Dairy Products, Ownership of agricultural land in Denmark, Pigs, Price and Volume Indicators (Discontinued), Prices and price index for agriculture, Production of Compound Feed, Sales of Pesticides and Pesticides Usage in Crop Farming, Slaughter Animals and Meat Production, Surveillance of the Condition of Forests in Denmark (Discontinued), The Supply and Use of Cereals and Feed, The Use of Cereals, Wintergreen Fields (Discontinued), Fishery and aquaculture, Account Statistics for Fishery, Accounts Statistics for Aquaculture, Aquaculture, Structure and Production (Discontinued), Danish Vessels, Landings of fish, Manufacturing industries, Cost index for refuse collection, sludge removal and freight transport by road, Industrial Production and New Order Statistics (base year 2005, 2000-) (Discontinued), Industrial Production and New Orders Statistics (base year 2000, 1985-) (Discontinued), Industrial Production and New Orders Statistics (base year 2000, 1985-2006) (Discontinued), Industrial Production and Turnover (base year 2005, 2000-) (Discontinued), Industrial Sales and Orders Statistics (base year 1995, -2002) (Discontinued), Manufacturers’ Purchases of Goods and Services, Manufacturers’ Sales of Goods (quarterly), Mining and Quarrying, Production and Turnover in Manufacturing Industries, Stocks of Wholesale, Construction, Census of Buildings, Construction Activity, Construction cost index for residential buildings, Construction Cost Indices for Civil Engineering Projects, Index of Production in Construction, Number of Persons Employed in the Construction Industry, Number of Persons Employed in the Construction Industry (until 2003) (Discontinued), Producer price index for construction of dwellings, Producer price index for renovation and maintenance, Purchase of commodities and services in the construction industry (Discontinued), Turnover in construction, Trade, Retail Trade Index, Retail Trade, by Goods (Discontinued), Sale of motor vehicles, repair and maintenance of motor vehicles etc. (Discontinued), Sales of Alcohol and Tobacco, Stocks of Wholesale, Wholesale Trade, by Goods (Discontinued), Accommodation and travel, Holiday houses, Leisure and Business Trips, Nights spent at hotels, holiday resorts and youth hostels, Nights Spent at Marinas, Nights spent on camp sites, Financial sector, Banks and mortgage-credit institutions, Consumer Credit, Finance Companies, Accounts Statistics (Discontinued), Insurance companies and pension funds, Profit and Loss Accounts of Danmarks Nationalbank, Service sector, Accounting, Book-Keeping and Auditing Activities, Advertising Services, Architecture, Business and Management Consultancy Activities, Business Services in the Sector for Call Centers (Discontinued), Business Services in the Sector for Catering Activities (Discontinued), Business Services in the Sector for Cleaning Activities (Discontinued), Business Services in the Sector for Design (Discontinued), Business Services in the Sector for Forwarding Agents (Discontinued), Business Services in the Sector for Market Research and Public Opinion Polling, Business Services in the Sector for Security Services (Discontinued), Business Services in the Sector for Technical Testing and Analysis, Computer Services, Engineering Activities and Related Technical Consultancy, Indices of Service Production (Discontinued), Legal Activities, Production and Turnover in Service Industries, Services of service industries, Temporary Employment Agencies and Other Human Provision Services, Business tendency surveys, Business Cycle Tracer (Discontinued), Business tendency surveys, Construction Survey (Discontinued), Industry investment survey (Discontinued), Industry Survey (Discontinued), Retail Trade Survey (Discontinued), Services Survey (Discontinued)

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=6

Documentation of statistics: Business Enterprise Research and Development (BERD)

Contact info, Science, Technology and Culture, Business Statistics , David Boysen Jensen , +45 61 50 73 82 , DBY@dst.dk , Get documentation of statistics as pdf, Business Enterprise Research and Development (BERD) 2024 , Previous versions, Business Enterprise Research and Development (BERD) 2023, Business Enterprise Research and Development (BERD) 2022, Business Enterprise Research and Development (BERD) 2021, Business Enterprise Research and Development (BERD) 2020, Business Enterprise Research and Development (BERD) 2019, Business Enterprise Research and Development (BERD) 2017, Business Enterprise Research and Development (BERD) 2016, Business Enterprise Research and Development (BERD) 2015, Business Enterprise Research and Development (BERD) 2014, Business Enterprise Research and Development (BERD) 2013, Business Enterprise Research and Development (BERD) 2012, The purpose of the R&D statistics of the enterprise sector is to analyse the scope of research and experimental development undertaken within the sector. This is carried out by estimating the resources used in the area, measured in R&D-expenditure and R&D-personnel broken down on industry, size class and the regional level. The survey is conducted in accordance with OECDs guidelines for R&D statistics as described in the Frascati Manual. The Danish data are comparable with the data of other OECD- and EU-countries. , Statistical presentation, The purpose of the R&D statistics is to present the scope of research and experimental development undertaken within the Danish business sector. The aim is to secure detailed statistical information on the R&D activities., Read more about statistical presentation, Statistical processing, The statistics is based on a survey sample of approx. 3,500 units weighted to a frame of approximately 22,000 enterprises. The statistics is compiled in one joint questionnaire which covers both the R&D domain and the innovation statistics. An extensive validation process of the data is carried out. One part of the validations is integrated in the data collection in the dynamic web-questionnaire, another part is carried out after the data collection using micro- and macro validation techniques., Read more about statistical processing, Relevance, Statistics have users in ministry of science, business organizations, researchers, business and students. Statistics are used in publications on research and in international comparisons. R&D statistics is describing the knowledge society. Part of the EU's Innovations Union Scoreboard. Micro-data is available for research through Research Service at Statistics Denmark., Read more about relevance, Accuracy and reliability, To minimize errors the questionnaires are supported with guidelines and instructions. However some data reports are not error-free and may reflect misinterpretations from the respondents which can lead to certain errors., Coefficients of variance (CV) have been compiled for a range of central indicators., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally published no later than 12 months after the end of the reference year. Statistics with reference year 2023 was published 1. April 2025., Read more about timeliness and punctuality, Comparability, The statistics is compiled according to the guidelines of the Frascati Manual and the EU Regulation. There are no other comparable Danish R&D-statistics, but the Danish statistics is comparable to the R&D statistics from other EU-member states and OECD-countries. The statistics is from 2007-2016 comparable. There was a break in time series from 2016 to 2017. From 2017-2024 the statistics is comparable., Read more about comparability, Accessibility and clarity, The statistics are published in Focus On Statistics Denmark (Nyt fra Danmarks Statistik) and are available from Statistics Denmark's website at https://www.dst.dk/fui and from the database StatBank Denmark (https://www.dst.dk/statistikbanken). The statistics can also be found at the Eurostat databases (under the STI-domain). For the years 2012-2020 Statistics Denmark published a more extensive publication concerning R&D and innovation: "Innovation og Forskning 2020" (Innovation and research 2020).The publication is available (Danish only) on https://www.dst.dk, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-enterprise-research-and-development--berd-

Documentation of statistics

Documentation of statistics: Harmonized Index of Consumer Prices (HICP)

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Harmonized Index of Consumer Prices (HICP) 2026 , Previous versions, Harmonized Index of Consumer Prices (HICP) 2025, Harmonized Index of Consumer Prices (HICP) 2024, Harmonized Index of Consumer Prices (HICP) 2023, Harmonized Index of Consumer Prices (HICP) 2022, Harmonized Index of Consumer Prices (HICP) 2021, Harmonized Index of Consumer Prices (HICP) 2020, Harmonized Index of Consumer Prices (HICP) 2019, Harmonized Index of Consumer Prices (HICP) 2018, Harmonized Index of Consumer Prices (HICP) 2017, Harmonized Index of Consumer Prices (HICP) 2016, Harmonized Index of Consumer Prices (HICP) 2015, Harmonized Index of Consumer Prices (HICP) 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), ECOICOP (pdf), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), The harmonized index of consumer prices (HICP) is compiled by all EU Member States and Norway, Iceland and Switzerland. The purpose of the harmonized consumer price indices is to be able to estimate the development in the countries' consumer prices on a comparable basis. HICP is used both by the Commission and by the European Central Bank in connection with the valuation of the price development in the individual countries in connection with the implementation and monitoring of the 3rd phase of the EMU. All the EU Member States and Norway and Iceland have compiled HICP since January 1997., Statistical presentation, HICP shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services., The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The HICP is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the HICP, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are mainly calculated as geometric indices. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total HICP., Read more about statistical processing, Relevance, The HICP is generally viewed as a reliable statistic based on the views of users., Important users are among others The European Central Bank, The European Commission, The Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank as well as private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the HICP as the sample is not randomly drawn, but the quality of the HICP is accessed to be high. In connection with COVID-19, uncertainty is greater than usual as it has been difficult to collect prices and many industries have been closed down., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample., Read more about accuracy and reliability, Timeliness and punctuality, The HICP 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 Danish HICP can be compared directly with other countries' HICPs. Using the HICPs it is possible to compare the inflation rates between different countries directly., The Danish HICP is also related to the national consumer price index., From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. , From January till December 2000, the only difference between the national consumer price index and the HICP is that both owner-occupied dwellings and private hospitals are only recorded in the consumer price index and not in the HICP. , Before January 2000, there are differences in calculation and methodology between the two indices as well as several differences as regards their coverage of goods and services., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Harmonized index of consumer prices (HICP), . The HICP of all Member States is also published by Eurostat in , Statistics in Focus/Economy and Finance, and on , Eurostat, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harmonized-index-of-consumer-prices--hicp-

Documentation of statistics