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    Documentation of statistics: Relocations (Discontinued)

    Contact info, Population and Education , Get documentation of statistics as pdf, Relocations 2017 , Previous versions, Internal migrations 2016, Relocations 2015, Relocations 2014, Relocations 2013, The purpose of these statistics is to describe the population's internal migration pattern in Denmark. Migrations to and from Greenland and The Faroe Island are not included. These statistics are e.g. used for administrative planning at national, regional and municipal level. The statistics are comparable since 1980., Statistical presentation, These statistics are an annual measure of the number of internal migrations, between and internally in the country's municipalities and regions. These statistics are grouped into moving day and moving month and contain information about the gender and age of the persons moving. The statistics also show moving patterns for young people under 30 years of age and how many who move away from home., Read more about statistical presentation, Statistical processing, The source of the statistics is Statistic Denmark's population register, which daily receives a outdraw which include information about the events such as internal migrations from CPR (Central Person Register)., After the end of the quarter is the population extracted from the population at the municipality level from the register and is published in the Statbank., Input data is not check for errors. Corrections on internal migrations from the source CPR (Central Person Register) will be updated in the database when they arrive., Read more about statistical processing, Relevance, Municipalities, countries, government department and other national organizations which want to take advantage of the statistical field of persons in order to improve the planning., Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register. As the CPR register is an administrative register, the municipalities themselves have an interest in keeping the quality of the register at a high level. Analyses have shown that the quality of the CPR data is extremely high., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approx. a month and a half after the end of the reference period. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The period of waiting for the late reporting from the CPR register was shortened in the 4th quarter of 1992 from 40 days to 30 days. , The change method i 2007 means, that events which is happen in the former quarter/year, but at first is registered in the actual quarter/year, will not be counted as an internal migration in actual year. Analyses has shown that internal migrations for the year of 2007 that 2½ pct. of the internal migrations of the year is not part of the actual publish year., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Internal migrations in Denmark, . These statistics also feature in the , Statistical Yearbook, . For more information go to the , Subject Page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/relocations--discontinued-

    Documentation of statistics

    Documentation of statistics: Radio and TV Statistics, Equipment Statistics, Appliances and Distribution (Discontinued)

    Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2016 , Previous versions, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2015, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2014, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2013, These statistics are meant to provide easy, simple access to basic facts on the reception of electronic media in Denmark. For example, they show how many households receive TV via cable, satellite dish or aerial, and the proportion with special reception appliances. , Statistical presentation, Distribution shows statistics for different types of media appliances within the population. , Read more about statistical presentation, Statistical processing, The role of Statistics Denmark with respect to this statistics is solely to assure the quality and communicate information that is selected, collected, processed and disseminated by other producers of statistics/data suppliers. Please refer to the original sources for a detailed review of the statistical processing, Read more about statistical processing, Relevance, The user satisfaction is not examined. These statistics are used by ministries, students and the press., Read more about relevance, Accuracy and reliability, Overall reliability is basically satisfactory. Several equipment statistics tables are based on sources which cover 95-100 pct. of the population. These are the tables based on figures from the Danish energy Agency. Please refer directly to the source for further details concerning overall reliability., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are normally published without delay in relation to the notified date., Read more about timeliness and punctuality, Comparability, As the media industry undergoes rapid development, changes can sometimes occur which affect comparability over time. More modern media appliances are included in the statistics, whilst others are withdrawn. Rapid developments can also take place in internet media, e.g. speeds and connection types. , Read more about comparability, Accessibility and clarity, There are no press releases in connection with this statistic., There are statBank tabels with figures, StatBank, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/radio-and-tv-statistics--equipment-statistics--appliances-and-distribution--discontinued-

    Documentation of statistics

    Documentation of statistics: Child care in private kindergartens before school start

    Contact info, Population and Education , Get documentation of statistics as pdf, Child care in private kindergartens before school start 2023 , Previous versions, Child care in private kindergartens before school start 2022, Child care in private kindergartens before school start 2021, The following statistics show the number of enrolled children and the number of employed personnel in private daycare institutions. Children and personnel are assessed as full-time equivalent. The statistics are published for the first time in the year 2022., Statistical presentation, The statistics provide an annual report on the number of enrolled children and staff with educational responsibilities in private daycare institutions. Both children and staff are converted into full-time equivalents, and only pedagogical staff, such as pedagogical managers, early childhood educators, assistants, and aides, are included in the report. Children and staff in day care, pool scheme institutions, as well as municipal and self-governing daycare institutions, are not included in the statistics., Read more about statistical presentation, Statistical processing, Information on enrolled children and staff with educational responsibilities is received electronically from the municipal administrative systems and private payroll providers. Data validation is conducted, and the data may potentially be adjusted as a result of this process., Read more about statistical processing, Relevance, The ministries use the statistics to compare municipal resource allocation for childcare and to develop policies in the area. Interest organizations, such as BUPL, KL, and FOLA, use the statistics to evaluate resource allocation and the service level in the childcare sector. The data is collected based on an agreement between Statistics Denmark and the Ministry of Children and Education., Read more about relevance, Accuracy and reliability, Data primarily originates from municipal administrative systems. The accuracy may be affected by errors and omissions in the municipalities' records and the private daycare payroll data, as well as the correctness of keys used, for example, to allocate children into age groups in integrated institutions., Read more about accuracy and reliability, Timeliness and punctuality, To be implemented, Read more about timeliness and punctuality, Comparability, To be implemented, Read more about comparability, Accessibility and clarity, To be implemented, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/child-care-in-private-kindergartens-before-school-start

    Documentation of statistics

    Religion

    How many members do various religious communities have?, Note: Below, we provide links to data from Statistics Denmark and to 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., At Statistics Denmark, you will find statistics on membership of the national church, number of new and resigned members as well as religious ceremonies such as baptisms, funerals, confirmations and marriages from 2006/2007 onward on the subject page , National Church, and in , Statbank Denmark, ., In two books produced by the Folkekirkens Uddannelses- og Videnscenter, a contemporary picture of Danes' , religiosity and relationship with the national church in 2020, (in Danish)., The Ministry of Ecclesiastical Affairs has , overview tables,  (in Danish) concerning religious ceremonies in the Danish national church as well as an overview of the finances of the church. , Centre for Contemporary Religion at Aarhus University is responsible for the search base ", Godkendte trossamfund i Danmark, “ (in Danish), where you can find figures and information on recognised religious communities in Denmark today - for example, statistics on memberships. CSR also publishes the yearbook ", Religion i Danmark, “ (in Danish)., The Danish newspaper Kristeligt Dagblad has a portal , Religion.dk, (in Danish) where you can search for information on Christianity, Islam, Buddhism, Judaism and other religions in Denmark and the rest of the world. Their page , Kan man tælle religion, offers e.g. data on the world’s ten most widespread religions as well as an estimate of the number of Muslims in Denmark., In a book on facts and the demography of religion in the 21st century called "Tørre tal om troen. Religionsdemografi i det 21. århundrede" from 2007, religion researchers have estimated numbers for various religions in Denmark. The book (in Danish) is available at , bibliotek.dk, ., Internationally, The consulting and market research agency Ipsos has made a study of views on religion. See , the newsletter, published in connection with the study, from where you can download more detailed tables of data on the 26 countries included the study., The , UN's Demographic Statistics Database, has a table of data on religious affiliations of the population of 112 of the world’s countries.,  , [This page was last reviewed in October 2023]

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

    Documentation of statistics: Overweight among children

    Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Overweight among children 2018 , Previous versions, The purpose of the statistics Overweight among children is to shed light on geographical differences in overweight among children in Denmark. The statistics are used to compare the prevalence of overweight and obesity among children in different municipality groups. The statistics are newly developed and cover the period from 2012 to 2018. The statistics are comparable throughout the period., Statistical presentation, Overweight among children is an annual measurement of the prevalence of overweight and obesity among children stated in percentage. The statistics are grouped by sex, age, and municipality groups., Read more about statistical presentation, Statistical processing, Data for these statistics are collected yearly from the National Child Health Register and the population statistics. Collected data are not further validated. Instead, collected data are merged, and the proportion of overweight among 6-7-year-old children and 14-15-year-old young people is calculated separately for boys and girls for each municipality to the final statistical output., Read more about statistical processing, Relevance, The statistics are relevant for professionals, analysts and other interested parties as a basis for elucidation and in-depth analyses of geographical differences in overweight among children in Denmark., Read more about relevance, Accuracy and reliability, The statistics are a good measure of overweight among children. The average coverage is 89 pct. among the 6-7-year-olds and 70 pct. among the 14-15-year-olds. Measurement errors on height and weight are likely, although these are assumed to be due to random misregistrations. The uncertainty increases in line with the level of detail in the statistics. Overall, however, the statistics are reliable, as both the data and methods are of good quality. Revisions are not expected., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published within 5 years after the end of the reference period. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The statistics are newly developed and cover the period from 2012 through 2018. The statistics are comparable throughout the period., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Consultations of physicians, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/overweight-among-children

    Documentation of statistics

    Documentation of statistics: Purchase of commodities and services in the construction industry (Discontinued)

    Contact info, Short Term Statistics , Get documentation of statistics as pdf, Purchase of Commodities and Services in the Construction Industry 2018 , Previous versions, Purchase of Commodities and Services in the Construction Industry 2017, Purchase of Commodities and Services in the Construction Industry 2016, Purchase of Commodities and Services in the Construction Industry 2015, Purchase of Commodities and Services in the Construction Industry 2014, Purchase of Commodities and Services in the Construction Industry 2012, The purpose of the statistics is to give detailed information about services and materials used in the Danish constructional production. It is used, among other things for the national accounts. The statistics has been made since 2006. In its present form figures are comparable from 2012 and onwards., Statistical presentation, The purpose of the statistics is to give detailed information about services and materials used in the Danish constructional production. The purchase of services are divided into 10 types of services and reported for 5 construction industries. The purchase of materials are divided into 44 material groups and reported for 5 construction industries. The statistic is based on a survey among construction companies., Read more about statistical presentation, Statistical processing, The reported data is scaled to the total population of companies with main activity in construction. The scaling compensate for bias in the sampling and reporting. No numbers are imputed. The reported numbers are controlled for errors. , Read more about statistical processing, Relevance, The statistic is used mainly by the national account for information on the linkages between construction and other sectors., Read more about relevance, Accuracy and reliability, It is estimated that the statistic has a reasonable quality at an aggregated level. At material-group level it is estimated that the quality is low. No quantitative measures of the total uncertainty of the statistic have been done. For the totals in purchase of materials and services the sample uncertainty is approximately 5 pct.. The statistic has a number of measuring errors. These are estimated as being a greater source of uncertainty than the sample uncertainty. the statistic is reliable in the sense that published numbers are rarely revised., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published yearly, ultimo April., Read more about timeliness and punctuality, Comparability, In the archive one can find statistics for the years 2006-2011 in the tables BYGT, BYGTX, BYGR and BYGRX. These statistics are not comparable to the new time series, since they are not scaled to the population. It is not possible to compare the data in the survey with other business surveys., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Purchase of commodities and services in construction, . For more information go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchase-of-commodities-and-services-in-the-construction-industry--discontinued-

    Documentation of statistics

    Vietnam 2022-2024

     , Statistics Denmark is implementing the first phase of a Strategic Sector Program in Vietnam financed by the Ministry of Foreign Affairs. Our partner is the General Statistics Office of Viet Nam (GSO). The GSO is an organization under the Ministry of Planning and Investment (MPI) performing the advisory function for the MPI Minister on state management in statistics and providing social and economic information to national and international organizations and individuals. The GSO also plays a key role in monitoring the SDGs., The overall objective, The overall objective of the Strategic Sector Program is to contribute to the development process of the Viet Nam by providing adequate and trustworthy statistics complying with the international standards and trends. , The project plays an important role in the process to informed decision-making by supporting the development of at least four areas:, Modernizing the data collection methods for population and migration statistics so that Viet Nam can improve the quality of demographic statistics and gain more reliable information on the developments m the population, Developing education statistics with the ambition that an education sector will have an informed platform to base daily operations and future development, Introducing Big Data as a new data source in Viet Nam and producing experimental statistics in order to provide more knowledge on the Vietnamese society, Developing the GSO's capacity to develop environmental-economic accounts, hence increase available knowledge on the environmental situation in Viet Nam and improve monitoring and reporting of the environmental-related SDGs., The project is structured around four outcomes and associated outputs:, A. , Foundation for using administrative data for producing population statistics information improved., Output A: Administrative data for compilation population statistics analyzed, B. Quality of education statistics is strengthened by the consistent use of administrative data on education., Output B: Administrative data on education is case studied, C. Big Data is used as a new data source for producing statistics in Viet Nam., Output C: At least one pilot experimental statistics based on Big Data is produced, D. System of environmental-economic accounts is studied, Output D: Environmental-economic accounts are compiled to have more indicators for SDG monitoring indicators are available for SDG monitoring

    https://www.dst.dk/en/consulting/projects/ghana-morocco-and-vietnam-2019-2024/vietnam-2022-2024

    Reporting to Intrastat via IDEP

    In IDEP it is possible to upload files from your economy system and e.g. upload both Intrastat Import and Export in the same file. It is also possible to manually enter data and save the most used country and goods codes for faster reporting. See guides and file examples below., Start IDEP, Many ERP systems (C5, Navision, SAP, XAL, Visma, m.fl.) can generate files which can be imported to IDEP. , Read about how to import data to IDEP and download file examples below:, Intrastat Multi Excel example file with new variables - (Excel), Intrastat Excel Line example file with new variables - (Excel), Intrastat Multi Excel Currency example file with new variables - (Excel), Guides to Data Import, Intrastat Multi Excel (Valuta/Currency) - Import data - (PDF), Intrastat Excel Line - Import data - (PDF), Intrastat SDF - file format and upload - (PDF), Intrastat Multi Text TAB - file format and upload - (PDF), Intrastat Text TAB - file format and upload - (PDF), File examples, Intrastat Multi Excel - example file - (Excel), Intratstat Multi Excel Currency - example file - (Excel), Intrastat eksport Excel Line - example file - (Excel), Intrastat import Excel Line - example file - (Excel), Intrastat eksport SDF-file - example file - (TXT), Intrastat import SDF-file - example file - (TXT), Intrastat Multi TEXT TAB - example-file - (TXT), Intrastat eksport Text TAB - example file - (TXT), Intrastat import Text TAB - example file - (TXT), CN8 Goods codes, CN8 goods codes search in IDEP - (PDF), Save line templates - (PDF), Save goods codes in IDEP - (PDF), VAT number validation, VAT number validation in IDEP - (PDF), VAT validation example file - (TXT), For more information about Intrastat see: , Intrastat information page

    https://www.dst.dk/en/Indberet/vejledning-til-digital-indberetning/indberetning-via-idep/intrastat

    Documentation of statistics: Rent indices for commercial real estate (Experimental statistics)

    Contact info, Prices and Consumption , Get documentation of statistics as pdf, Rent indices for commercial real estate (Experimental statistics) 2024 , Previous versions, Rent indices for commercial real estate (Experimental statistics) 2023, The rent indices for commercial real estate is an experimental statistics for rented property units in the commercial real estate market. The purpose of the statistics is to measure change over time. The statistics is published since 2023 with indices going back to 2021., Statistical presentation, The statistics is a quarterly statistics for the Denmark., Read more about statistical presentation, Statistical processing, The rent indices is based on a sample of commercial real estate that are privately rented. The sample covers app. 140,000 property units out of a population of app. 700,000 property units. The index is calculated by the match models method, i.e. the change in rent is measured by comparing the rent of the same property unit between two adjacent periods., Read more about statistical processing, Relevance, The statistics is primary used as a business cycle indicator by the European Systemic Risk Board and the European Central Bank. Other uses of the statistics is to shed light on developments of rent in the rental market for commercial real estate., Read more about relevance, Accuracy and reliability, It is not possible to quantify the statistical uncertainty in the rent indices for commercial real estate because the sample is not randomly drawn from the population, thus there is a potential for a sample bias.. The rent is collected on the first day of the first month of the relevant quarter. Thus, there will be uncertainty associated with changes to the rent within the quarter that are not captured., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published on the 15th or the first working day thereafter, in the first month after the quarter. Only final indices are published., Read more about timeliness and punctuality, Comparability, The calculation is based on a uniform basis since 2021. The statistics is not necessary comparable with other statistics that cover the same population due to differences in calculation method., Read more about comparability, Accessibility and clarity, The statistics is published under the subject of Rent indices for housing., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-commercial-real-estate--experimental-statistics-

    Documentation of statistics

    Documentation of statistics: Public libraries (Discontinued)

    Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Public Libraries 2018 , Previous versions, Public Libraries 2016, Public Libraries 2015, Public Libraries 2014, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. From 2000 and up to and including 2009 the statistics was produced by the Ministry of Culture. . The main information is stock, growth, lending, renewal of loans and interlibrary loans., Statistical presentation, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. Up to and including 2009 the statistics was produced by the Ministry of Culture., Read more about statistical presentation, Statistical processing, Statistics Denmark process the collected data, them validate and publish them in Statbank a half years after the reference year., Read more about statistical processing, Relevance, The statistics are available for all who are interested in the library business such as politicians, media, students and NGOs. There has been no study of user satisfaction in this statistic. There is regular contact with the Danish Culture authority on the quality and relevance of the statistics. , Read more about relevance, Accuracy and reliability, The statistic includes all public libraries in Denmark. Uncertainty caused by incorrectly reported figures are sought minimized thorough massive inspection of the reported figures., For the reference years 2016 and 2017 will numbers of loans, stock, growth, interlibrary loans and active loaners not be published. This is due to problems caused by the change in administrative IT-systems for the libraries in these years. , Read more about accuracy and reliability, Timeliness and punctuality, Data is collected by Statistics Denmark in the first half of the year immediately following the survey year. Publishing occurs in early July. The total production time is six months. The statistics are published according to the schedule without delay. Due to problems with datacollection is the statistic for reference years 2016 and 2017 delayed. , Read more about timeliness and punctuality, Comparability, Use of standards within the library in Denmark reflects both concrete Danish needs but also the organization of the international standard work. Statistics on public libraries are thus comparable with international statistics to the extent they are based on the same international standards., Read more about comparability, Accessibility and clarity, Publishing is in the following channels:, News from Statistics Denmark http://www.Statbank.dk, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-libraries--discontinued-

    Documentation of statistics