Search result

Vulnerable people, homeless people and sex workers

How many people are particularly vulnerable in Denmark?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., Statistics Denmark has several tables on people who are vulnerable under the subject , Social support services, , including e.g. crisis centres. In 2021, Statistics Denmark published the analysis ", Opvækst eller tilvækst – er socialt udsatte i landkommunerne tilflyttere?, “ (in Danish) on the geographic distribution of vulnerable people and where they come from., VIVE - the Danish Center for Social Science Research performs research surveys of particularly vulnerable groups and focus on e.g. the scale of the problems and the social costs. In 2018, VIVE released the report ", Når udsatte borgere møder velfærdssystemet, " (in Danish) along with a matching information booklet on the meeting between vulnerable citizens and the welfare system., In 2018, the National Institute of Public Health published a health profile for vulnerable citizens in Denmark – , sundhedsprofil for socialt udsatte i Danmark, (in Danish), which focuses on the health, morbidity and well-being of socially vulnerable citizens in 2017 and the development since 2007., How many homeless people are there in Denmark?, Since 2007, the number of homeless people in Denmark has been mapped every two years. See the most recent report on homelessness in Denmark – ", Hjemløshed i Danmark 2024, “ (in Danish) from VIVE, the Danish Center for Social Science Research., All previous reports on homelessness in Denmark (in Danish) are available at , VIVE’s website, ., Several publications, news and articles are available at VIVEs , temaside om hjemløshed, (in Danish), which is a theme page on homelessness., See also the homelessness barometer – , Hjemløsebarometeret, – from Hjem til Alle, which is an alliance of 20 partners working to stop homelessness among young people. The barometer puts Danish homelessness in a Nordic perspective in a , report from 2018, (in Danish)., Are there any homeless young people?, See the , theme pages on homelessness, among young people – unges hjemløshed by the National Board of Social Services., How many live in shelters?, In 2017, Statistics Denmark took over the responsibility for the annual statistics on users of shelters and care homes (the Social Services Act, section 110). See , subject page, and , tables in StatBank Denmark, . This set of statistics was previously published by the , Appeals Board, (in Danish)., How many sex workers are there in Denmark?, The National Board of Social Services’ , The Danish Centre against Human Trafficking, have information e.g. on the number of sex workers and customers, foreign women involved in sex work, trafficking in human beings, young people and paid sexual exploitation., See also , publications by the National Board of Social Services, (in Danish) on the subject, e.g. recent memos on the extent and forms of sex work., VIVE - the Danish Center for Social Science Research reports on the number of sex workers in the report ", Salg af sex i Danmark 2020, “ (in Danish)., In 2019, SSI and University of Aalborg published the report ", Sex i Danmark, “ (in Danish), in which there is a section focused on the extent to which people have either received payment for sex or paid for sex., [This page was last reviewed in July 2025],  

https://www.dst.dk/en/informationsservice/oss/Socudsatte

Classification of education (DISCED-15), completed educations, v1:2022

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2022 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2022 , Valid to: , January 31, 2023 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=b6cca659-0e8f-49f8-8d70-618ebe82bbd2

Documentation of statistics: The Student Registre

Contact info, Population and Education, Social Statistics , Susanne Mainz Sørensen , +45 20 34 51 79 , sms@dst.dk , Get documentation of statistics as pdf, The Student Registre 2024 , Previous versions, The Student Registre 2023, The Student Registre 2020, The Student Registre 2019, The Student Registre 2018, The Student Registre 2017, The Student Registre 2016, The Student Registre 2015, The Student Registre 2014, The Student Registre 2013, Documents associated with the documentation, Big Bang Dokumentation (pdf) (in Danish only), Big Bang Rekodning (xlsx) (in Danish only), The Students Register, which was established in the early 1970's, is a longitudinal register that allow you to follow the educational careers of students in the mainline education system. The purpose of The Student Register is to analyze entrance to, enrolment in and graduation from the mainline education system as well as transmissions of student within the system., Statistical presentation, The Student Register is a longitudinal register that allows you to track the educational careers of each student throughout all the educational programs comprising their educational career. The register covers educational careers starting from preschool to PhD. All publicly recognized educational programs are included. Data about PhDs is delayed by one year compared to other data in the register. Adult or continuing education, as well as education taken outside Denmark, are not included in the register., Read more about statistical presentation, Statistical processing, The Student Register is based on annual reports from the Danish educational institutions. The majority of data is collected by system to-system reporting. However, there are a few educational institutions which report through web-based questionnaires. In cooperation with system suppliers, Statistics Denmark has established requirements for reporting formats, validation and error searches. In addition, there is an extensive validation of data at Statistics Denmark., Read more about statistical processing, Relevance, The register illuminates entrances, departures, and student flows within the education system. It serves as the foundation for education tables in StatBank Denmark., Read more about relevance, Accuracy and reliability, The information in The Student Register is obtained from the institutions' administrative register and goes through a comprehensive error check in connection with the annual data collections. The reliability of the educational information is considered to be high. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the end of the reference time. The statistics are usually published without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, The information contained in The Student Register starts in 1973 and comparability over time is good. Basic school includes only grade 8-10. up to the school year 2005/06. From the school year 2006/2007 preschool through 7th grade is included., Read more about comparability, Accessibility and clarity, Statistics are published annually in the statbank under the subject , Full-time education, and on the , homepage, for uddannelsesstatistik, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-student-registre

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2024

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2024 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2024 , Valid to: , January 31, 2025 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=eb9c3f6c-5798-43e5-8551-45b897f9777a

Classification of education (DISCED-15), completed educations, v1:2023

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2023 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2023 , Valid to: , January 31, 2024 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=c517e8f3-114e-4295-b912-baa26e6727b5

Documentation of statistics: Pigs

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Pigs 2025 , Previous versions, Pigs 2024, Pigs 2023, Pigs 2022, Pigs 2021, Pigs 2020, Pigs 2019, Pigs 2018, Pigs 2017, Pigs 2016, Pigs 2015, Pigs 2014, The statistics on the stock of pigs shows the total number of pigs in Denmark. It aims, among other tings, to form a basis for forecasting future slaughters and future stock of sows. The statistics are also used for different economic and environmental estimations and analyses. The stocks of pigs have been compiled since 1915 but with slightly different methods used over time. The last change was in 01 April 2018. The difference in the number of pigs for new and the old method of analysis is below 1 per cent. The statistics are considered to be comparable from 1998 onwards. , Statistical presentation, The pig survey are a sample survey published every quarter as the numbers of pigs in Denmark. The statistics are published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in the Statbank. The data series with the total stock of pigs (pigs, total) are only published without seasonal adjustment from 2020. , Read more about statistical presentation, Statistical processing, Data for the pig survey is collected by means of web questionnaires or by means of the system to system solution AgroVision or Danish Crown Data. A sample little below 1.200 holdings with pigs according to the The Central Husbandry Register (CHR) is selected. The survey is a sample survey divided into groups (strata) by the size of pigs and types of pigs on the single holding. Farms with many pigs are selected every time. The answers are validated for unrealistic values and next the sample is extrapolated to the total population of all farms with pigs. , Read more about statistical processing, Relevance, The pigs survey is of great interest to EU, the Ministry of Environment and Food, The Danish Association of Slaughterhouses and others farmer´s organizations, but also students and interested people in general. The most important purposes of pig surveys are to provide a basis base for forecasts of pigs for slaughter. The statistics are used in financially and environment studies. , Read more about relevance, Accuracy and reliability, The greatest factor of inaccuracy is updating and matching of the different registers. The relative standard deviation - sampling errors - for pigs is 0.5 per cent to 1.5 per cent. A maximum of 5 per cent has to be observed to meet EU's requirements. As part of a quality assessment statistical errors are calculated for all variables., Read more about accuracy and reliability, Timeliness and punctuality, The figures are usually published without delay in relation to the scheduled data, however with some exceptions in 2012 and 2013., Read more about timeliness and punctuality, Comparability, The pig surveys have been conducted in their present form since April 1974, but the number of pigs have been conducted at varying points in time and frequency since 1915. , Read more about comparability, Accessibility and clarity, These statistics are published semiannually in a Danish press release and quarterly in the Statbank table , SVIN, . For further information, see the subject page for , Livestock, . Data with long timeseries can be find on , Livestock (historic) by type of livestock, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/pigs

Documentation of statistics

External trade, production and supply

How can I find sales figures for a specific commodity in Denmark?, Statistics Denmark does not have information on sales of individual commodities or brands., External trade and production, Using data on production, imports and exports, respectively, it is possible to estimate the market supply., A supply estimate = (domestic production plus imports) minus exports, But it will only be an ESTIMATE, as enterprises with trade or production of minor significance are not required to submit data for these statistics. For example, only companies with at least 10 employees submit data for the production statistics. In addition, a number of enterprises whose imports or exports are worth small amounts are not required to submit data for the external trade statistics. It is also not possible to take e.g. stock of the commodity into account., External trade, The most detailed tables regarding goods are distributed by , CN, classification: , Annual figures,  , Monthly figures, In less detail, the table is compiled by , SITC,  main groups: , Table SITC2R4,  , In table STIC2R4, in the MONTH box under 'More options...' you can choose years instead of months, Production, The most detailed tables regarding goods are distributed by , CN , classification: , Annual figures,  , Quarterly figures,  , In less detail, the tables are compiled by , SITC, main groups: , Annual figures,  , Quarterly figures,  , Commodity codes , The key to detailed data on import/export and production are the commodity code classifications CN or SITC, with the CN classification being the most detailed. , The , KN classification, can be unfolded to the full list on our website, which offers an option to search on words or commodity codes., Alternatively, you can search for commodity codes in the Customs Agency's , eVITA,  , The production statistics are published in 10 digits, which are equal to the 8 digits of the CN classification + 2 extra digits, The , SITC classification, is less detailed in terms of commodity groups: www.dst.dk/SITC , The SITC commodity codes have 5 digits , SITC and CN are linked in such a way that a 5-digit SITC number always corresponds to one or more commodity codes under the same 4-digit main position in the CN classification , A key between KN and SITC can be found at , Eurostat, It is also possible to search for commodity codes directly in the Statbank Denmark tables. , Please note that commodity codes may change from year to year. In addition, certain commodity codes are omitted from the tables because the information is confidentialised. Confidentiality implies that information is not published if e.g. the data of an individual enterprise can be recognised., Documentation of statistics, In the "Documentation of statistics" you can read more about sources and methods for the statistics in question, as well as detailed explanations and descriptions of any limitations in the statistics. , International Trade in Goods,  , Production (Manufacturers’ Sales of Goods),  , [This page was last reviewed in October 2024],  ,  

https://www.dst.dk/en/informationsservice/oss/UHprod

Asymmetries in statistics on International Trade in Goods

Trustworthy, consistent and comparable figures about the level and the development of international trade in goods are extremely important for both economically and political reasons. When Georgia entered into the Free Trade Area with the EU in 2014, it was expected to have a positive influence on the trade between EU and Georgia., 19 October 2021 14:00 ,  , Trustworthy, consistent and comparable figures about the level and the development of international trade in goods are extremely important for both economically and political reasons. When Georgia entered into the Free Trade Area with the EU in 2014, it was expected to have a positive influence on the trade between EU and Georgia. It has been more than difficult to get a consistent picture of the trade between the two areas because of the huge differences (asymmetries) in statistics on trade in goods published by Eurostat and Geostat (National Statistics Office of Georgia) respectively. The differences have been both concerning the level and – even more worrying – also the trend in trade. , A fruitful and intensive 2-year cooperation between Geostat and Danish experts from Statistics Denmark in the frame of the Twinning project , Strengthening the Capacity of the Georgian Statistical System, has now resulted in a comprehensive report describing the nature, reasons and possible solutions to these asymmetries. The report is an important input to understanding asymmetries and how to handle them in the future “, Link, ”.  , Georgia’s geographical location on the shore of the Black Sea means that many goods traded between countries in Europe and mainly Armenia and Azerbaijan are transiting through Georgia. The European traders/custom are in many cases not aware that the specific imported/exported good is only transiting in Georgia and is therefore incorrectly reporting the good as being imported/exported from/to Georgia. Incorrect reporting of goods that are only transiting through Georgia are by far the major reason for the asymmetries according to the report prepared by the project, which has analysed in depths the methodology applied to trade in goods statistics in Georgia, the concepts applied and the practical data collection.  , The analysis thereby also implies that the Georgian data in the cases where goods are transiting in Georgia, are more likely to be correct than Eurostat’s data as the asymmetry appears due to incorrect declaration of country of origin (when EU is importing) and country of final destination (when goods are exported from the EU). In many of these cases, the hypothesis was supported by mirror analysis carried out on data from Azerbaijan, Armenia and Turkmenistan, which showed similar asymmetries in trade data with the EU. , Asymmetries might be caused by methodological reasons, as well as by data errors. A thorough review of the compilation of international trade in goods in Geostat has revealed a sound methodology applied in Geostat’s compilation of International Trade Statistics and great awareness of international standards. The analysis also indicates that there might be a few issues concerning the so-called trade system, volatile currency, high exemption threshold for export, imputation of missing import of cars and misclassifications of commodities, all of which are more or less out of the hands of Geostat, and more importantly, are minor issues in the big asymmetry picture. , Data errors are by far the biggest problem detected. A good understanding and overview of the nature and major sources of the data errors were obtained from structured in depths microlevel analysis involving a lot of correspondence with colleagues from 6 different EU National Statistical Offices and to some extent local importers/exporters. A lot of hard work remains to reduce the asymmetries in the future, requiring most of all careful training of individual data reporters concerning the importance of indicating the correct country of origin/country of final destination.

https://www.dst.dk/en/consulting/news-from-international-consulting/2021/19-10-2021-asymmetries-in-statistics-on-international-trade-in-goods

Documentation of statistics: SME Access to Finance

Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, SME Access to Finance 2018 , Previous versions, SME Access to Finance 2014, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Statistical presentation, The statistics sheds light on small and medium-sized enterprises' access to finance, covering loan finance, equity finance and other types of finance. Results are published in a NYT from Statistics Denmark and related tables in the Statbank. , Read more about statistical presentation, Statistical processing, The statistics is annual and questionnaire-based. Information is reported digitally. Validation includes checks and supporting information built into the digital form, combined with subsequent checks and recontact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity, enterprise size class and subpopulations ( high-growth enterprises, high-growth new enterprises and other enterprises)., Read more about statistical processing, Relevance, The statistics provides updated information on growth conditions for the Danish business sector, specifically on small and medium-sized enterprises' access to finance. The 2018 survey was carried out in collaboration with, and with financing from, the Danish Ministry of Industry, Business and Financial Affairs. In addition, the statistics is expected to be used by other ministries, Danmarks Nationalbank (the Danish Central Bank), business associations and by researchers., Read more about relevance, Accuracy and reliability, Sampling error calculations have been produced. The response rate is 93 per cent. Unit non-response is limited and due to bankruptcy, take-overs, etc. Item non-response is also limited. The quality of the statistics is considered high., Read more about accuracy and reliability, Timeliness and punctuality, Results from the survey are published relatively soon after the end of the reference period, and results have been published without delays. Results for 2014 were published without delays in a NYT from Statistics Denmark and related tables in the Statbank in mid-April 2015. Results for 2018 will be published without delays in late October 2019., Read more about timeliness and punctuality, Comparability, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. for 2007 and 2009/2010 results for a number of other European Member States are also available. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Read more about comparability, Accessibility and clarity, Results are published in a Nyt from Statistics Denmark (in Danish only) and related tables in the Statbank. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sme-access-to-finance

Documentation of statistics

Morocco 2024-2026

Statistics Denmark is implementing the second phase of a Strategic Sector Program in Morocco financed by the Danish Ministry of Foreign Affairs. Our partner is the High Commission for Planning (Haut-Commissariat au Plan - HCP) which is the main producer of official Statistics in the Kingdom of Morocco., About Denmark’s Strategic Sector Cooperation,  (on the homepage of the Ministry of Foreign Affairs), Long-term ambitions, The second phase of collaboration between Statistics Denmark and Haut-Commissariat au Plan (HCP) aims in the longer run 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. This to support the decision making for the development of the Moroccan 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 , the digitalisation of the statistical production process in HCP has progressed to a new level: With a new IT strategy, the establishment of a Data Management Centre, the use of web based surveys, implementation of a new software for the business register etc. the IT-infrastructure to receive, process and disseminate data is now more or less in place. , The aim in phase II is thus to secure a steady and continuous flow of data into the system - both from surveys and from administrative registers, and to finalize the quality aspects of the production of statistics and to publish it., 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 (or systems) supporting a just green transition in Morocco through strengthening NSO capacities to work with adequately and appropriately disaggregated survey and administrative data for statistics, for digitalization processes and for communication., HCP has strengthened their role as a trusted data provider, their capacities to cooperate and to 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 partners through exposition to Danish data-solution companies and the Danish Public Private Partnership data-ecosystem of statistics., Areas of collaboration, Improving HCPs capacity and the national statistical system is done by amongst other things improving the economic modelling capacities, digitalising prioritised statistical processes, continued work on IT and data security issues, finalising the establishment of a statistical business register and secure data flows, improving quality work, and providing technical support to the further development of the implementation of The System of Environmental Economic Accounting (SEEA)., Besides the efforts to further strengthen capacities in the production, the quality and the access to statistics efforts will be made to strengthen the cooperation between data providers and users establishing national partnerships with both government and private institutions. In practical terms through e.g. working groups and user groups, by drawing up aggreements, arranging work shops and study visits etc.

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