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    Pan-African Statistics – PASII 2022-2025

    The Pan-African Statistics project is part of an EU funded programme counting two projects (SOCSTAF - Social Statistics and ECOBUSAF - Economic and Business Statistics) headed by Statistics Denmark and Statistics France (INSEE) respectively. The Danish-headed project focuses on support to producing official statistics within the social domains of education, health, and labour and counts consortium partners from the NSIs of France, Finland, Spain and Poland. , The aim of the Danish-led part of the project (SOCSTAF) is to support African integration through strengthening the African Statistical System and ensure the use of quality statistical data in the decision-making process and policy monitoring, in order to facilitate monitoring of societal progress in Africa, with a special focus on the social domain., The project is reinforcing the capacity of selected African national statistical offices in producing good quality social statistics in fields of health, education, and labour and thus contributing to the following three outputs:, Output 1: , Reliable, and, harmonized statistics are, collected and analyzed, based on international, standards recognized and, applied across the entire, African Statistical System, in a number of key sectors, relevant for African, integration (with, disaggregation by sex, age,, and disability where, relevant), Output 2: , Reliable, and, harmonized statistics are, disseminated to users and, used as evidence for, informed, decision-making., Output 3: , The institutional, capacity of the African, statistical system is, increased, at, national, level., Partner countries in Africa, Partner countries for Statistics Denmark under PASII are:, Senegal, Tunisia, Rwanda and South Africa. Subjects to be covered are the following:, Senegal:  Establishment of a Statistical Business Register, Tunisia: Media training on communication with the press., Rwanda: Installation of PX-Web (software to publicize tables in a databank on the web)., South Africa: Use of administrative micro data., ECOBUSAF-SOCSTAF Newsletter, #1 February 2024, #1 February 2024, #2 September 2024, #2 September 2024

    https://www.dst.dk/en/consulting/projects/pan-african-statistics-pasii-2022-2025

    Pushing statistical production based on administrative data – on all levels

    Pushing statistical production based on administrative data – on all levels., 22 August 2023 12:00 ,  , At the same time as Danish experts in Vietnam together with the General Statistical Office (GSO) worked on creating statistical indicators based on administrative micro data, an international conference on “Data ecosystem management, data governance, and data stewardship” took place. Participants were Vietnamese ministries, international institutions, representatives from the private sector and national statistical offices., The full day conference displayed experiences of data integration and cooperation between authorities for the production of high quality official statistics through presentations and discussions. Presentations were held by the national statistical offices of Denmark, Singapore, South Korea, Japan and Thailand. Likewise the international organizations ESCAP and UNFPA contributed with presentations., The conference ended in a lively discussion between the Vietnamese public institutions and the international participants. The conference is considered a valuable leverage to Statistics Denmark’s ongoing efforts to support the modernization and digitalization of the production of official statistics in Vietnam through the Strategic Sector Cooperation program financed by the Danish Ministry of Foreign Affairs., You can read more about the SSC-project in Vietnam here.

    https://www.dst.dk/en/consulting/news-from-international-consulting/2023/22-08-2023-Pushing-statistical-production-based-on-administrative-data

    Documentation of statistics: Enterprise Groups in Denmark

    Contact info, Business Dynamics , Asbjørn Hviid Mikkelsen , +45 29 42 68 36 , AHM@dst.dk , Get documentation of statistics as pdf, Enterprise Groups in Denmark 2022 , Previous versions, Enterprise Groups in Denmark 2021, Enterprise Groups in Denmark 2020, Enterprise Groups in Denmark 2019, Enterprise Groups in Denmark 2018, Enterprise Groups in Denmark 2017, Enterprise Groups in Denmark 2016, Enterprise Groups in Denmark 2015, Enterprise Groups in Denmark 2014, Enterprise Groups in Denmark 2012, The purpose of the statistic Enterprise groups in Denmark is to describe enterprise group relations amongst Danish companies. Thus the statistic contributes to the description of the business structure in Denmark. The statistic was complied for the first time for the reference year 2009. , Statistical presentation, The statistic is a yearly compilation, which emphasizes the extent of both the number of enterprise groups and the number of full time equivalent employees herein. , The statistical unit is therefore the "Enterprise Group". An enterprise group, in these statistics, is regarded to be two or more companies located in Denmark and at the same time have a mutual ownership. A mutual ownership is regarded to be present if one Danish company owns and/or controls more than 50 per cent of another Danish company., Read more about statistical presentation, Statistical processing, The statistic is based on the Business Statistics Enterprise Group Register. Enterprise group relations are confirmed via the annual reports of the enterprises and by looking up in the Central Business Register., Read more about statistical processing, Relevance, The primary users of the statistic are various industrial organizations, politicians, researchers and the news media. As part of the establishment of the Business Statistics Data Warehouse, the statistical content and the framework for the enterprise groups statistics have been presented to the project's external research follow-up group., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations, which are deemed to be reliable to a high extent. , Read more about accuracy and reliability, Timeliness and punctuality, Enterprise groups in Denmark are disseminated 18-24 months after the end of the reference year. The statistic is normally published without delay to the announced time. , Read more about timeliness and punctuality, Comparability, This statistic is only carried out in Denmark. Since 2022, the enterprises in Enterprise groups in Denmark has been based on the new activity threshold, which includes economically active enterprises. For the same year, the statistic has been expanded to include sector A: Agriculture, forestry and fishing. It is therefore not directly comparable to the previous time series covering 2009-2021., Read more about comparability, Accessibility and clarity, The results are available in Statbank Denmark. See also , Enterprise groups, ., It is possible to buy tailor-made tables, and researchers can obtain access to the micro-data upon request. , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/enterprise-groups-in-denmark

    Documentation of statistics

    Documentation of statistics: Elections to municipality councils

    Contact info, Population and Education, Social Statistics , Dorthe Larsen , +45 23 49 83 26 , DLA@dst.dk , Get documentation of statistics as pdf, Elections to municipality councils 2017 , Previous versions, Elections to municipality councils are held every four years, on the third Tuesday in November. Since the municipal reform, elections to municipality councils have taken place in 2009, 2013 and 2017. Results from the elections are published in the StatBank the following year., Statistical presentation, The statistics of the election to the municipalities and regions publishes around 2 months after the date of the deadline for complaints (media January the following year). The election is keep each fourth year. the third Tuesday i November months. The statistics publish for each municipality. The candidate is broken down on elected/nominated, parties and sex. The distribution on votes is broken down after party, postal votes, invalid votes. the statistics is based on extract from Kommunedata IT election system from which Statistics Denmark receive data from., Read more about statistical presentation, Statistical processing, Data for these statistics are provided as an extraction from the election software system (managed by KMD) after the deadline has expired for complaints/objections. , Read more about statistical processing, Relevance, The statistics are relevant for municipalities, regions, ministries, other government organizations, political party organizations, researchers and citizens as a basis for planning and surveys. The data basis of the statistics (micro-data) is used by researchers to whom data is made available via our Research Services. , Read more about relevance, Accuracy and reliability, The statistics are based on data extractions from the election software system (managed by KMD) to which the results of the local and regional elections are reported. As the data basis is used for calculating the composition of the local and regional councils, it is demanded that the statistics are recorded accurately and, as a result, are of very high quality. , Read more about accuracy and reliability, Timeliness and punctuality, The election is held every four years on the third Tuesday of November. The results are usually published five months later, i.e. mid-March. , Read more about timeliness and punctuality, Comparability, In connection with the municipal reform of 2007, the number of municipalities in which to hold elections was reduced from 271 to 98. For the majority of municipalities, it meant that the geographical scope of the municipality increased considerably, and that a new local council had to be elected for the new increased geographical area which had previously been covered by two or more municipalities and a corresponding number of local councils. , Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the Statbank, these statistics can be found under , Elections to municipality councils, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/elections-to-municipality-councils

    Documentation of statistics

    Documentation of statistics: Teacher-student register for primary school

    Contact info, Population and Education , Eva Lotti Hansen , +45 21 59 99 06 , EBR@dst.dk , Get documentation of statistics as pdf, Teacher-student register for primary school 2023 , Previous versions, Teacher-student register for primary school 2022, Teacher-student register for primary school 2021, The Matched Educational Data for primary and lower secondary education level (MED-Elementary) serves the purpose of enriching the elementary school statistics with information about the individual lessons. The data registry has been developed for research purposes and provides the possibility to study who receives teaching together and who executes the teaching. So far, the register covers the school year of 2020/2021, 2021/2022, and 2022/2023. , Statistical presentation, The database, MED-Elementary, contains information about students, groups, teachers and their activities in public elementary schools and other schools at the level of primary to lower secondary education in Denmark. The register covers 0th to 10th grade in the Danish school system. , In its current form, the registry covers from the school year of 2020/21 and are updated yearly with the addition of another year. , Read more about statistical presentation, Statistical processing, The data for this registry is collected weekly from the schools' digital login system, Unilogin, and the communication platform, AULA, as automatic system-to-system reporting. The weekly updates are compiled into chronological tracks, which undergo a broad validation process followed by and enrichment of the data, also on a weekly basis. Once a year data from the two sources are integrated and combined with data from the Student Registry. , Read more about statistical processing, Relevance, MED-Elementary has been developed for research purposes and creates opportunities for research in teaching at the level of the individual lessons in primary and lower secondary schools. This applies, for example, to the importance of the composition and length of the school day. In the development of MED-Elementary, external stakeholders and future users have been continuously involved., Read more about relevance, Accuracy and reliability, The information in the database comes from the institutions' administrative systems and good agreement has been found with existing registers based on other data sources., By translating the activity designations into a mandatory subject, the number of hours at each individual school is compared to the minimum requirement or the indicative number of hours according to the executive order on elementary schools. It is estimated that in 84 pct. of primary schools, students have on average between 85 pct. and 115 pct. of the recommended number of hours/minimum hours in the executive order in the school year 2021-2022., Read more about accuracy and reliability, Timeliness and punctuality, It is expected that the register will be published in April for the previous school year without significant delays., Read more about timeliness and punctuality, Comparability, The MED-Elementary is currently available for the school year 20/21, 21/22 and 22/23 ., Read more about comparability, Accessibility and clarity, Researchers and other analysts from authorized research institutions can gain access to the Micro-data through Statistics Denmark's Research Scheme, and the ministries will be able to gain access through the ministerial scheme., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/teacher-student-register-for-primary-school

    Documentation of statistics

    Documentation of statistics: Absence from work

    Contact info, Labour Market , Nete Nielsen , +45 40 10 48 87 , NDN@dst.dk , Get documentation of statistics as pdf, Absence from work 2023 , Previous versions, Absence from work 2022, Absence from work 2021, Absence from work 2020, Absence 2019, Absence 2018, Absence 2017, Absence 2016, Absence 2015, Absence 2014, Absence 2013, Absence 2012, The purpose of the statistics of absence is to describe the amount of work that is lost due to absence. Absence is divided into "Own sickness", "Children's sickness", "Occupational injury" and "Maternity and adoption leave". The statistics are published on a yearly basis and are used for estimating and comparing the level of absence within different groups of employees., Statistical presentation, The statistics of absence are published yearly for the governmental sector, the local governmental sector and the private sector. Statistics according to the new sector definition from 2013 are also published for the labour market as a whole. The absence is grouped by the variables occupation, education, industry, region, age and sex. From 2013 own sickness is published by lengths of period. In the governmental and municipal sector all employees are included while the private sector is described by a representative sample of enterprises with 10 or more employees., Read more about statistical presentation, Statistical processing, On a yearly bases information on absence is collected from all of the public sector and from a sample 2600 private enterprises with 10 or more employees. After validating the absence data the periods of absence are connected to the job from which the person was absent. The information about the extent of the employment is found in the earnings statistics. The information on absence from the private sector is enumerated to the total population of enterprises with 10 employees or more., Read more about statistical processing, Relevance, Absence has both personal and economic consequences that have an impact on both employees, employers and the community. The statistics are tools used in estimating and comparing the level of absence within different groups of employees, and can be a foundation on which economic and political decisions are made. The statistics are of interest for the central government, municipalities and regions, private business enterprises, non-governmental organizations, researchers and news media. , Read more about relevance, Accuracy and reliability, The governmental and local government sector in principle include all employed persons. For these sectors there is immeasurable inaccuracy mainly caused by measuring errors., The private sector is based on a representative sample of about 2600 enterprises. The inaccuracy can be divided into sampling inaccuracy and the immeasurable inaccuracy that derives from measuring errors. The total absence rate for own sickness is determined with a 95 percent confidence interval to vary around +/- 0.05 percent. Sampling errors for divisions on e.g. gender or industry are considerably higher., Read more about accuracy and reliability, Timeliness and punctuality, The statistics of absence refers to the whole year to which the absence periods belongs The statistics is published on a yearly basis at the end of October following the reference period. The information is published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, The statistics of absence for the central governmental sector covers the year 2003 and forward, while the first data for the local governmental sector was published for the year 2005. The statistics for the private sector covers the period from 2007 and forward. From 2010 the municipality sector and the regional sector are published separately. Before 2010 the two sectors were only published together., The method and quality of data have continuously been improved especially the first years of the statistics. Comparisons between sectors and years (especially the earliest published data) should only be made with reservations., Read more about comparability, Accessibility and clarity, The latest results are published once a year in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Absence from work, . It is possible to buy more detailed results and to get access to micro-data through Statistics Denmark's Research services., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/absence-from-work

    Documentation of statistics