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Documentation of statistics: Port calls in Danish sea ports (experimental statistics)

Contact info, Short Term Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Port calls in Danish sea ports 2020 (experimental statistics) , Previous versions, This experimental statistics shows the activity in Danish ports measured by port calls. The statistics as an experimental statistics is not part of the official statistics program of Statistics Denmark. The statistics is experimental because it is the first time Statistics Denmark uses the large amounts of data in the AIS system (Automated Information System) and the methods for data treatment are still under development. The details in the presentation and the form of dissemination can change as Statistics Denmark receives feedback from users or during the continued development., Statistical presentation, The statistics is an index of the number of port calls to Danish ports and covers freight and container vessels. The statistics is made based on ship position data (AIS data) made available by the Danish Maritime Authority. The statistics is only published in the Statbank., Read more about statistical presentation, Statistical processing, AIS data is received in a continuous stream and registered daily. The process starts with a data reduction after which a representative arrival and departure observation is selected. Afterwards the ports are defined from the AIS-data after which ports and arrival/departure pairs representing a port call is matched., Finally tables, indices and seasonally adjustments are produces., Read more about statistical processing, Relevance, The statistics provides faster data on the activity in Danish ports and the possibility to cover more types of vessels compared to existing maritime statistics. The statistics is experimental and a part of this concept is to reveal relevance and user needs. Industry organisations have however expressed interest in the statistics., Read more about relevance, Accuracy and reliability, The precision of the statistics in terms of the development of the actual port calls in Danish ports and for freight and container vessels is relative high based on a comparison between the quarterly maritime statistics., The statistics is at the moment assessed to have a medium reliability since no revision analysis has been performed yet., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is planned for publication approximately 10 days after the reference period., Read more about timeliness and punctuality, Comparability, Only few other countries uses AIS data to make maritime statistics since the statistics still is an experimental statistics without a fixed international methodology. A comparison with similar data from the maritime statistics is possible despite a number of differences., Read more about comparability, Accessibility and clarity, The statistics is published in , Statbank, and on the subject page for , Harbours, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/port-calls-in-danish-sea-ports--experimental-statistics-

Documentation of statistics

Documentation of statistics: Coverage of general practitioners

Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Coverage of general practitioners 2023 , Previous versions, The purpose of the statistics Coverage of general practitioners is to shed light on geographical differences in the coverage of general practitioners in Denmark. The statistics are used to compare different municipality groups' coverage of general practitioners and gain insight into which geographical areas show signs of a shortage of general practitioners. The statistics are newly developed and cover the period from 2015 and onwards. The statistics are comparable throughout the period., Statistical presentation, Coverage of general practitioners is an annual measurement of the coverage of general practitioners stated in number of people per medical capacity. A medical capacity is an administrative unit which is used to regulate the supply of general medical services under the National Health Insurance. According to the agreement about general practice, a capacity must be able to handle approximately 1,600 registered group 1 insured persons. The statistics are grouped by municipality groups., Read more about statistical presentation, Statistical processing, Data for these statistics are collected yearly from the Danish Health Data Authority's key figures for general practice and population statistics. Collected data are not further validated. Instead, collected data are merged, and the information about the number of people per medical capacity is calculated 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 the coverage of general practitioners in Denmark., Read more about relevance, Accuracy and reliability, The statistics are a good measure of the coverage of general practitioners in the country's municipalities since the registration of medical capacities presumably is complete as it is used to regulate the supply of general medical services under the National Health Service. The population statistics only have a minor uncertainty due to the lack of registration of illegal immigrants and delayed registration of emigrants. Revisions are not expected., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published within 5 months 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 2015 and onwards. 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/coverage-of-general-practitioners

Documentation of statistics

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: Recipients of subsidy for private day-care

Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , RIE@dst.dk , Get documentation of statistics as pdf, Recipients of subsidy for private day-care 2024 , Previous versions, Recipients of subsidy for private day-care 2023, Recipients of subsidy for private day-care 2022, Recipients of subsidy for private day-care 2021, Recipients of subsidy for private day-care 2020, Recipients of subsidy for private day-care 2019, Recipients of subsidy for private day-care 2018, Recipients of subsidy for private day-care 2017, The statistics illustrates the number of children and the number of families receiving subsidies for private day-care or for care of their own children. These statistics are comparable from 2004 and onwards., Statistical presentation, The statistics is an annual inventory for the 3. of October of the number of children and the number of families receiving subsidies for private day-care or for care of their own children after the Day Care Act, Dagtilbudsloven (§ 80 and § 86). The statistics are grouped by municipalities., Read more about statistical presentation, Statistical processing, Data is received through electronic reporting from all municipalities. If the information is assessed to be incorrect, Statistics Denmark contacts the municipalities and assures the data through a dialogue with the municipalities., Read more about statistical processing, Relevance, The statistics is relevant for ministries, municipalities and professional organizations. They use it as a foundation for analysis and reports etc., Read more about relevance, Accuracy and reliability, The primary uncertainty related to the statistics comes from typing errors made by reporters in the municipalities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published around five months after the reference period. The statistics is published with no delays., Read more about timeliness and punctuality, Comparability, There is comparable data for the number of children receiving subsidies from 2004 until today. The statistics can be found in the StatBank in tables PAS2 (2004-2006) and PAS22 (2007-2014)., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Childcare, in the table , DAGTIL4, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/recipients-of-subsidy-for-private-day-care

Documentation of statistics

Holiday and business trips

For decades Spain has been the favorite travel destination for Danes when it comes to long holiday travels with at least four overnight stays. Italy, France, Sweden and Germany normally also attract many Danish tourists. , Introduction, For decades Spain has been the favorite travel destination for Danes when it comes to long holiday travels with at least four overnight stays. Italy, France, Sweden and Germany normally also attract many Danish tourists., The statistics cover what countries we visit, how long we are there for but also what the purpose of the holiday visit was both in Denmark and abroad. The following are among the most common purposes:, Visit with family or friends, City break, Beach holiday, Holiday house, For long trips the transportation to the holiday destination is mostly frequently by plane. However, the car is most frequently used when it comes to shorter stays abroad with one, two or three overnight stays., The statistics are calculated from a sample survey among Danes aged 15 years or older and also covers numbers for business trips.The numbers cover how much money the holiday or business trips costed on average and whether the accommodation was a hotel/holiday center, holiday house or with family and friends., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Leisure and Business Trips, Key figures, In Statbank Denmark, you can find more data on Holidays abroad (FF1), Related content in Holiday and business trips, Tables in Statbank , Scheduled releases , Contact, Kari Anne Janisse Arildsen, Phone: +45 40 43 38 12, Mail: , kjs@dst.dk, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/ferie-og-forretningsrejser

Subject page

Counties and municipalities, v3:2006

Name: , AMT_KOM_V3_2006 , Description: , Before 1970, Denmark was divided into approx. 1300 parish municipalities, 86 market town municipalities and 25 counties. The Danish Municipal Reform in 1970 resulted by law in a new local and regional structure for the whole country with two administrative levels - municipalities and counties - and thereby a change of administrative units., With the Danish Municipal Reform in 1970, the number of counties was reduced to 14 and municipalities to 277. Copenhagen Municipality (code 101) and Frederiksberg Municipality (code 147) were the only ones assigned both county and municipal tasks. After the amalgamation of the Bornholm municipalities in 2003, Bornholm's Regional Municipality (code 400) held the same special status as Copenhagen and Frederiksberg., From 1 April 1974, Sengeløse Municipality was incorporated into Høje-Taastrup Municipality (code 169) and Store Magleby Municipality was incorporated into Dragør Municipality (code 155), which reduced the total number of municipalities to 275., From 1 January 2003, Bornholm's Regional Municipality (code 400) was established by merging Allinge-Gudhjem (code 401), Hasle (code 403), Nexø (code 405), Rønne (code 407) and Aakirkeby (code 409) Municipalities and Bornholm County. The merger reduced the total number of municipalities in Denmark to 271., From 1 January 2006, Ærø Municipality (code 492) was be established by merging Marstal Municipality (code 443) and Ærøskøbing Municipality (code 493), which reduced the total number of municipalities in Denmark to 270., This classification includes Christiansø (code 411). Christiansø is not part of a municipality. Instead it is administered directly by the state through the Danish Ministry of Defence., The geographical breakdown of counties and municipalities is consistent with the Nomenclature of territorial units for statistics (, NUTS, )., Valid from: , January 1, 1970 , Valid to: , December 31, 2006 , Office: , Methodology and Analysis , Contact: , Rohan James Draper, , rjd@dst.dk, , ph. +45 21 33 89 16 , Codes and categories, Open hierarchy, Download , CSV, DDI, 100: København and Frederiksberg, 101: København, 147: Frederiksberg, 150: Københavns Amt, 151: Ballerup, 153: Brøndby, 155: Dragør, 157: Gentofte, 159: Gladsaxe, 161: Glostrup, 163: Herlev, 165: Albertslund, 167: Hvidovre, 169: Høje Taastrup, 171: Ledøje-Smørum, 173: Lyngby-Taarbæk, 175: Rødovre, 181: Søllerød, 183: Ishøj, 185: Tårnby, 187: Vallensbæk, 189: Værløse, 200: Frederiksborg Amt, 201: Allerød, 205: Birkerød, 207: Farum, 208: Fredensborg-Humlebæk, 209: Frederikssund, 211: Frederiksværk, 213: Græsted-Gilleleje, 215: Helsinge, 217: Helsingør, 219: Hillerød, 221: Hundested, 223: Hørsholm, 225: Jægerspris, 227: Karlebo, 229: Skibby, 231: Skævinge, 233: Slangerup, 235: Stenløse, 237: Ølstykke, 250: Roskilde Amt, 251: Bramsnæs, 253: Greve, 255: Gundsø, 257: Hvalsø, 259: Køge, 261: Lejre, 263: Ramsø, 265: Roskilde, 267: Skovbo, 269: Solrød, 271: Vallø, 300: Vestsjællands Amt, 301: Bjergsted, 303: Dianalund, 305: Dragsholm, 307: Fuglebjerg, 309: Gørlev, 311: Hashøj, 313: Haslev, 315: Holbæk, 317: Hvidebæk, 319: Høng, 321: Jernløse, 323: Kalundborg, 325: Korsør, 327: Nykøbing-Rørvig, 329: Ringsted, 331: Skælskør, 333: Slagelse, 335: Sorø, 337: Stenlille, 339: Svinninge, 341: Tornved, 343: Trundholm, 345: Tølløse, 350: Storstrøms Amt, 351: Fakse, 353: Fladså, 355: Holeby, 357: Holmegaard, 359: Højreby, 361: Langebæk, 363: Maribo, 365: Møn, 367: Nakskov, 369: Nykøbing Falster, 371: Nysted, 373: Næstved, 375: Nørre Alslev, 377: Præstø, 379: Ravnsborg, 381: Rudbjerg, 383: Rødby, 385: Rønnede, 387: Sakskøbing, 389: Stevns, 391: Stubbekøbing, 393: Suså, 395: Sydfalster, 397: Vordingborg, 400: Bornholm, 400: Bornholm, 401: Allinge-Gudhjem, 403: Hasle, 405: Nexø, 407: Rønne, 409: Aakirkeby, 411: Christiansø, 420: Fyns Amt, 421: Assens, 423: Bogense, 425: Broby, 427: Egebjerg, 429: Ejby, 431: Faaborg, 433: Glamsbjerg, 435: Gudme, 437: Haarby, 439: Kerteminde, 441: Langeskov, 443: Marstal, 445: Middelfart, 447: Munkebo, 449: Nyborg, 451: Nørre Aaby, 461: Odense, 471: Otterup, 473: Ringe, 475: Rudkøbing, 477: Ryslinge, 479: Svendborg, 481: Sydlangeland, 483: Søndersø, 485: Tommerup, 487: Tranekær, 489: Ullerslev, 491: Vissenbjerg, 492: Ærø, 493: Ærøskøbing, 495: Ørbæk, 497: Årslev, 499: Aarup, 500: Sønderjyllands Amt, 501: Augustenborg, 503: Bov, 505: Bredebro, 507: Broager, 509: Christiansfeld, 511: Gram, 513: Gråsten, 515: Haderslev, 517: Højer, 519: Lundtoft, 521: Løgumkloster, 523: Nordborg, 525: Nørre Rangstrup, 527: Rødding, 529: Rødekro, 531: Skærbæk, 533: Sundeved, 535: Sydals, 537: Sønderborg, 539: Tinglev, 541: Tønder, 543: Vojens, 545: Aabenraa, 550: Ribe Amt, 551: Billund, 553: Blåbjerg, 555: Blåvandshuk, 557: Bramming, 559: Brørup, 561: Esbjerg, 563: Fanø, 565: Grindsted, 567: Helle, 569: Holsted, 571: Ribe, 573: Varde, 575: Vejen, 577: Ølgod, 600: Vejle Amt, 601: Brædstrup, 603: Børkop, 605: Egtved, 607: Fredericia, 609: Gedved, 611: Give, 613: Hedensted, 615: Horsens, 617: Jelling, 619: Juelsminde, 621: Kolding, 623: Lunderskov, 625: Nørre Snede, 627: Tørring-Uldum, 629: Vamdrup, 631: Vejle, 650: Ringkøbing Amt, 651: Aulum-Haderup, 653: Brande, 655: Egvad, 657: Herning, 659: Holmsland, 661: Holstebro, 663: Ikast, 665: Lemvig, 667: Ringkøbing, 669: Skjern, 671: Struer, 673: Thyborøn-Harboøre, 675: Thyholm, 677: Trehøje, 679: Ulfborg-Vemb, 681: Videbæk, 683: Vinderup, 685: Åskov, 700: Århus Amt, 701: Ebeltoft, 703: Galten, 705: Gjern, 707: Grenaa, 709: Hadsten, 711: Hammel, 713: Hinnerup, 715: Hørning, 717: Langå, 719: Mariager, 721: Midtdjurs, 723: Nørhald, 725: Nørre Djurs, 727: Odder, 729: Purhus, 731: Randers, 733: Rosenholm, 735: Rougsø, 737: Ry, 739: Rønde, 741: Samsø, 743: Silkeborg, 745: Skanderborg, 747: Sønderhald, 749: Them, 751: Århus, 760: Viborg Amt, 761: Bjerringbro, 763: Fjends, 765: Hanstholm, 767: Hvorslev, 769: Karup, 771: Kjellerup, 773: Morsø, 775: Møldrup, 777: Sallingsund, 779: Skive, 781: Spøttrup, 783: Sundsøre, 785: Sydthy, 787: Thisted, 789: Tjele, 791: Viborg, 793: Aalestrup, 800: Nordjyllands Amt, 801: Arden, 803: Brovst, 805: Brønderslev, 807: Dronninglund, 809: Farsø, 811: Fjerritslev, 813: Frederikshavn, 815: Hadsund, 817: Hals, 819: Hirtshals, 821: Hjørring, 823: Hobro, 825: Læsø, 827: Løgstør, 829: Løkken-Vrå, 831: Nibe, 833: Nørager, 835: Pandrup, 837: Sejlflod, 839: Sindal, 841: Skagen, 843: Skørping, 845: Støvring, 847: Sæby, 849: Aabybro, 851: Aalborg, 861: Aars, All versions, Name, Valid from, Valid to, Counties and municipalities, v3:2006, January 1, 1970, Still valid, Counties and municipalities, v2:2003, January 1, 1970, December 31, 2005, Counties and municipalities, v1:1970, January 1, 1970, December 31, 2002

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/amt-kom

Documentation of statistics: The Education Transition Register

Contact info, Population and Education , Susanne Mainz Sørensen , +45 20 34 51 79 , SMS@dst.dk , Get documentation of statistics as pdf, The Education Transition Register 2019 , Previous versions, The Education Transition Register 2018, The Education Transition Register 2017, The Education Transition Register 2016, The Education Transition Register 2015, The Education Transition Register 2014, The purpose of The Education Transition Register is to give a fundament for describing transitions through the education system beside the one there are in The Student Register. In The Education Transition Register there is a number of simple counts of movements in the education system, ex the number of time a student change education within the same group of education and completion time., Statistical presentation, In The Education Transition Register the central unit is education groups instead of individual programs. The Education Transition Register looks at these group of educations and the students are followed through a education group with the new elections and institutional changes that may occur., Read more about statistical presentation, Statistical processing, The education career in The Student Register is divided into groups The individual record relate to a group and have information about the progress through the groups as well as the transitions between the groups. See also the statistical treatment in the documentations of statistic for The Student Register., Read more about statistical processing, Relevance, The register is obvious to illuminate the process of education., Read more about relevance, Accuracy and reliability, The reliability of the educational information is judged to be good. The Education Transition Register is based on The Student Register. The information in The Student Register, comes from the institutions' administrative register and goes through an comprehensive error check in connection with the annual data collections., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 5 months after the end of the reference time. The statistics are usually published without delay to the scheduled date., Read more about timeliness and punctuality, Comparability, The information in The Education Transition Register starts in 1973 and the comparability over time good. Basic school includes only grade 8-10 up to the school year 2005/2006. From 2006/2007 preschool through 7 grade are included., Read more about comparability, Accessibility and clarity, The statistical data is released in , Nyt fra Danmarks Statistik, Statistic Denmarks Statbank dissiminated figures from the Transition register under the subject , Educational transitions, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-education-transition-register

Documentation of statistics

Documentation of statistics: Workplaces and jobs

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Workplaces and jobs 2023 , Previous versions, Workplaces and jobs 2022, Workplaces and jobs 2021, Workplaces and jobs 2020, Employment in Businesses 2019, Employment in Businesses 2018, Employment in Businesses 2017, Employment in Businesses 2016, Employment in Businesses 2015, Employment in Businesses 2012, Employment in Businesses 2013, The purpose of the Employment in Businesses (EiB) statistic is to analyze the number of establishments and their employment at the end of November by industries, sectors and municipalities., The statistic has been compiled since 1990. It replaced the register based workplace statistic, which had been compiled for the period 1980-1989., Statistical presentation, The Employment in Businesses (EiB) statistic is published annually. The EiB provides information about the number of establishments and the number of jobs at the end of November plus figures for employment in full-time equivalents and annual wages., Jobs can be either as self-employed, assisting spouses or employees. The statistic can be distributed on municipalities, industries and size of the work place., Read more about statistical presentation, Statistical processing, During the production of the labour market account a register called AMR-UN (labour market account without hour standardization) is made. The EiB statistical register is produced from this register., Read more about statistical processing, Relevance, The statistic is used in planning and analysis etc. Furthermore, the statistics are input to Statistics Denmark's Business Register., Read more about relevance, Accuracy and reliability, The main input for the EiB is the e-income register and therefore the accuracy and reliability of the EiB dependent on the quality of this register., E-income is a register based on information, which the employers report to the tax authorities. Since this is information (e.g. about wages), which employees are taxed on the basis of the quality of this information is high., The statistic is simultaneously a census and hence there is not the same uncertainty as statistics based on random sampling., Against this background, the statistic is considered to have a high quality. , Read more about accuracy and reliability, Timeliness and punctuality, The statistic was until 2016 published 16-18 months after the reference date. From 2017 the statistic is published 10-11 months after the reference date., The statistic is usually published on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistic has been published since 1990, but with data breaks during this period., From 2008 there is no data breaks in the statistic and the figures are thus comparable in this period., Read more about comparability, Accessibility and clarity, Figures are published under the subject , Workplaces and jobs, . You can read more about the EiB , here, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/workplaces-and-jobs

Documentation of statistics

Documentation of data

Denmark’s Data Safari, Denmark’s Data Safari is a function that allows you to explore the data that you can order via Denmark’s Data Portal. This is data documentation from Statistics Denmark’s Databank of basic data and data from other sources that you can order via Denmark’s Data Portal. You can search for registers and e.g. find information on latest reference date and next expected update. You can also search for variables and find descriptions of variables. Note that the Data safari does not give you access to data, it is simply a way for you to get an idea of the data that you can request as a user., Go to Denmark’s Data Safari, High-quality documentation, High-quality documentation is an extension of the existing documentation in Statistics Denmark, including the documentation that you can find in Denmark’s Data safari. The extension element is the inclusion of the historic dimension in the documentation for the individual variable. In the historic dimension, any data breaches and validity periods are described and the population is indicated., For relevant variables, a graph and a table are attached. The same template for documentation is used for each variable., The high-quality documentation has been prepared in collaboration between Statistics Denmark and KOR (coordinating organ for register research). The quality control is carried out by external examiners appointed by KOR., Read more about the application of the high-quality documentation (pdf, in Danish),  , Go to the high quality documentation, More on variables, classifications and concepts , You can find more descriptions of Statistics Denmark’s data and variables on the page , Variables (in Danish), , and under , Classifications, , you can see the classifications/nomenclatures on which we found our statistical production. Finally, under , Concepts, , you can find the descriptions of common concepts and definitions. , Documentation of statistics, Statistics Denmark’s production includes more than 250 statistical products, which are organised into 17 subject groups., Each of the statistical products is described in the documentation of statistics, which provides an account of the content and quality under the following headers:, Administrative particulars about the statistical product, Contents, Time, Reliability and uncertainty, Comparability, Accessibility, Go to the Documentation of statistics, Statistiske Efterretninger, 'Statistiske Efterretninger' (statistical news) were released in the period 1909-2022. The series contains annotated and elaborate communication in text, figures and tables and consists of an old part of cross-disciplinary subjects (1909-1982) and a more recent part broken down by subjects and series (1983-2022). , Find 'Statistiske Efterretninger' under Historiske publikationsserier (in Danish)

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/dokumentation-af-data

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