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Documentation of statistics: International Trade in Services by Enterprise Characteristics

Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Services by Enterprise Characteristics 2022 , Previous versions, International Trade in Services by Enterprise Characteristics 2021, International Trade in Services by Enterprise Characteristics 2020, International Trade in Services by Enterprise Characteristics 2019, International Trade in Services by Enterprise Characteristics 2018, International Trade in Services by Enterprise Characteristics 2017, The purpose of Trade in Services by Enterprise Characteristics (STEC) is to describe enterprises engaging in international trade in services, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2014 and are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Services by Enterprise Characteristics is an annual measurement of enterprises involved in international trade in services and their characteristics, stated in value. The statistics are grouped by economic activity, enterprise size, ownership and type of services., Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in services (ITSS) with Business statistics. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, STEC is relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to the international trade in services in Denmark. , Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Service by Enterprise Characteristics is closely related to the accuracy of International Trade in Service Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Service Statistics., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, STEC have been compiled since 2017 but is comparable from 2014 to 2018 for legal units. From 2019 the statistics have been compiled using the enterprise unit. The data is fully comparable with compiled services in the ITSS and Balance of payments statistics. Comparability with other statistics, such as the business statistics can be limited due to different coverages., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , International Trade in Services, .The statistics can also be found in various publications and analysis., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-services-by-enterprise-characteristics

Documentation of statistics

Documentation of statistics: Rent indices for housing

Contact info, Prices and Consumption, Economic Statistics. , Martin Sædholm Nielsen , +45 24 49 72 81 , mne@dst.dk , Get documentation of statistics as pdf, Rent indices for housing 2021 , Previous versions, The purpose of the statistic Rent indices for housing is to measure the development in rent (housing). The statistic covers the years from 2021. , Statistical presentation, The statistic is a quarterly statistics who show the development in rents before rent subsidies. , Read more about statistical presentation, Statistical processing, The Rent indices for housing are based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from The National Bulding Fund (Landsbyggefonden) and thus covers the entire population of social rental housing. Privately owned rented dwellings is covered by a sample of approx. 110.000 dwellings out of a population of approx. 500.000 privately owned rented dwellings. Cooperative dwellings is covered by a sample of approx. 600 dwellings. Social rental housing and private rental housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent. , Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty. , Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. The statistics are published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 2021. The statistics are not necessarily comparable with other statistics within the same area due to different methods. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , rent and rental vacancy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-housing

Documentation of statistics

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

Statistics based on roads and addresses

Reach your target audience with statistics on roads and addresses, This product allows you to rank roads or streets in a particular geographical area according to where you are most likely to hit a specific audience., Get assistance selecting roads, The product is designed for those who want to reach a specific target group, for example in connection with marketing or other promotional activities. For example, if your company manufactures child bike seats, then this product will help you to only distribute advertising matter on the roads where there is a high proportion of families with at least one child under four years., Multiple options, You can rank the roads or streets in many different ways, for example after the following variables:, household income, educational level, age or sex, List of variables, Documentation - standard variables for statistics on roads and addresses, Combine information, You can also combine the different variables in order to reach exactly the target audience of your interest. Again, if you sell child bike seats at the high end of the market, you can combine the number of families with at least one child under four with a level of household income., Statistics based on roads and streets step by step, Roads are ranked based on statistics, All households are first divided into smaller groups according to the type of road where they are located and, if relevant, according to the type of house. Subsequently, households are grouped into clusters or groups of at least 400 households, which then form the basis for statistics, e.g. household income in intervals. The clusters of households can be formed in three different ways in increasing detail and thus also in precision., The level of detail is also reflected in the price. You can read more about how we create household clusters here:, How do we create clusters, Household clusters with type of housing, Household clusters without type of housing, Prices, Prices per variable vary between approx. DKK 10,000 for the simplest ranking for one municipality to approx. DKK 70,000 for the most detailed variant for the entire country. See the detailed price list here:, Pricelist_RoadsAddresses_2025 - English, Ordering, Please click on the button below and fill out the form. , ORDER, Please note that by ordering you accept Statistics Denmark's General Terms and Conditions of Agreements., Contact information, DST Consulting, tel: +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics on the Danish national grid, Staistics based on distances or neighbourhoods,  

https://www.dst.dk/en/TilSalg/produkter/geodata/vejsegmentering

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

Contact: External Economy

Section/Title, Name, Phone, Mail, Senior Adviser, Senior Adviser, Søren Rich , +45 23 74 44 02, sri@dst.dk, Management and Office Support, Head of Division, Head of Division, Katja Møller Hjelvang , +45 28 18 48 47, kmo@dst.dk, Balance of Payments, Chief Adviser, Chief Adviser, Maria José Alvarez Pelaez , +45 30 66 03 21, mjp@dst.dk, Dissemination and analysis team, Senior Adviser, Senior Adviser, Agnes Nansen Urup , +45 40 13 62 87, anu@dst.dk, Head of Section, Head of Section, Emil Flyger Andersen , +45 24 52 43 08, emf@dst.dk, Head of Section, Head of Section, Aron Tsegay Besrat , +45 21 84 82 78, abt@dst.dk, Head of Section, Head of Section, Mai Tham Bech Fanøe , +45 20 26 15 34, mtf@dst.dk, Head of Section, Head of Section, Pernille Leth Hougaard , +45 20 34 26 74, plh@dst.dk, Head of Section, Head of Section, Caroline Amalie Jakobsen , +45 24 46 80 61, cja@dst.dk, Head of Section, Head of Section, Øzge Burcu Köprülü , +45 20 34 45 55, oek@dst.dk, Bachelor, Bachelor, Albana Sopa , +45 20 41 39 93, aso@dst.dk, Head Clerk, Head Clerk, Helle Maria Krag , +45 24 92 53 69, hmk@dst.dk, Senior Head Clerk, Senior Head Clerk, Mads Møller Liedig , +45 40 12 97 72, mml@dst.dk, Senior Head Clerk, Senior Head Clerk, Pia Nielsen , +45 30 61 93 05, pin@dst.dk, External Trade in Goods, Chief Adviser, Chief Adviser, Stefan Gottschalck Anbro , +45 51 60 58 46, sfb@dst.dk, External Trade in Services, Senior Adviser, Senior Adviser, Selma Mustafic Mulalic , +45 23 69 46 64, smu@dst.dk, Prices, Senior Adviser, Senior Adviser, Sigrid Krogstrup Jensen , +45 61 15 29 82, sij@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=02&tlfbogsort=sektion

Documentation of statistics: Livestock production

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , mla@dst.dk , Get documentation of statistics as pdf, Livestock production 2024 , Previous versions, Livestock production 2023, Livestock production 2022, Livestock production 2021, Livestock production 2020, Livestock production 2017, Livestock production 2016, Livestock production 2015, Livestock production 2014, The purpose of Animal Products is to show size of production of animal agricultural products in Denmark. The statistics are used to monitor the price and quantity of development as well as the total value of animal production. The statistics on animal products have a long history and since 1900 it is possible to compare time series for the main figures, but from 1945 there have been adequate statistics in this area., Statistical presentation, Animal Products are a monthly, quarterly and annual measurement of total animal production, as well as of the main animal products. The statistics are stated in DKK million. and as quantity and price indices distributed by product groups., Read more about statistical presentation, Statistical processing, Data for these statistics are collected annually, monthly and quarterly, depending on product. Data comes from administrative registers, miscellaneous notifications, etc. In the individual statistics, the data received is checked for completeness and consistency, as well as consistency with previous periods. Data is checked again for completeness and consistency as well as correlation with previous periods in aggregation and calculation of quantity and price indices as well as total values ​​for animal agricultural products., Read more about statistical processing, Relevance, The statistics are used by ministries, agricultural organizations, as the basis for preparing analyzes and forecasts. The basic data and results of the statistics are also included in the National Accounts., Read more about relevance, Accuracy and reliability, The statistics give complete coverage and the margins of errors are restricted to estimates of the producers' own consumption, lower thresholds in the external trade statistics and incomplete statistics of stocks. The data derived from calculations of balances are residuals and the figures are subject to margins of errors. The greatest margins of errors are observed for the statistics compiled quarterly., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published without delay in relation to scheduled release times. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 1900, but are in their present form comparable from 1946. Compared to the statistics regarding Prices and price index for agriculture, there can be small differences due to a slight difference in the weight composition of the individual main products., Read more about comparability, Accessibility and clarity, See the topic Food Consumption where there is reference to Statistics in the Food and Beverage Consumption by Type and Device (Year)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/livestock-production

Documentation of statistics

Documentation of statistics: Asylum Applications and Residence Permits

Contact info, Population and Education , Annemette Lindhardt Olsen , +45 20 59 02 47 , ALO@dst.dk , Get documentation of statistics as pdf, Asylum Applications and Residence Permits 2022 , Previous versions, Asylum Applications and Residence Permits 2019, Asylum Applications and Residence Permits 2016, Asylum Applications and Residence Permits 2015, Asylum Applications and Residence Permits 2013, The statistics show the number of asylum seekers and the number of residence permits granted., The statistics were first published in 1989. The information on asylum seekers and refugees goes back to 1984, but there is only information on residence permits (other than refugees) from 1988., From 1997 there is information about residence permits on individual level for each immigrated person with citizenship outside Denmark and the Nordic countries., Statistical presentation, The statistics contain information on the number of asylum seekers, the citizenship of the asylum seekers and whether they are in Denmark or not. From 1. July 2002 it is only possible to apply for asylum when you are in Denmark., The statistics also contain information on the number of residence permits granted, the background for the permit and the citizenship of the applicants., Read more about statistical presentation, Statistical processing, Information from the Danish Immigration Service (Udlændingeservice). The Danish Immigration Service is the authority handling applications for asylum and other residence permits., The number of asylum applications and residence permits are not checked for errors., Read more about statistical processing, Relevance, Ministries, political parties, the media and private individuals are using the statistics for public and private purposes and as input to the public debate., Read more about relevance, Accuracy and reliability, It is judged that the quality of the information is high., Read more about accuracy and reliability, Timeliness and punctuality, The time for publishing are 45 days after the end of the quarter., Immigrations with information about residence permits are also published 45 days after the end of the quarter., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time and can also be compared internationally., Read more about comparability, Accessibility and clarity, The Statbank., Yearly publications: , Statistical ten-year review, and , Immigrants in Denmark, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/asylum-applications-and-residence-permits

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

Documentation of statistics: International organisation and outsourcing

Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, International organisation and outsourcing 2023 , Previous versions, International organisation and outsourcing 2020, International organisation and outsourcing 2016, The purpose of the statistics International organisation and outsourcing is to shed light on significant globalization trends concerning the enterprises' global organization and the extent of international sourcing of business functions for the period 2021-2023. The statistics has been collected also for the periods 2001-2006, 2009-2011, 2014-2016, and 2018-2020. , Statistical presentation, The survey has been carried out intermittently a number of times since 2007. The purpose of the survey is to establish data on the engagement of enterprises in global value chains and international outsourcing, motives and barriers related to international sourcing and the types of functions and number of jobs being moved out of Denmark as a consequence of enterprises' international sourcing. , Read more about statistical presentation, Statistical processing, Data for these statistics are collected via questionnaires from a population of app. 4.000 respondents with 50 or more employees, calculated as full-time equivalent (FTE) employees. The responses are checked electronically as well as manually. , Read more about statistical processing, Relevance, The purpose of the statistics is to shed light on enterprises' international outsourcing and engagement in global value chains. The primary users of the statistics are ministries, researchers and business organizations, who need information on the influence and importance of globalization on the Danish business sector. The statistics is used for research project and analyses where globalization and outsourcing are topics., Read more about relevance, Accuracy and reliability, The statistics is estimated to have a high degree of precision for the main variables., Read more about accuracy and reliability, Timeliness and punctuality, Results are published within 18 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, Data from the survey may be compared to the data collected in the surveys from 2007, 2012, 2017 and 2021. Furthermore it will be possible to compare the results of the Danish survey to those from a range of other EU-countries. Data may also be compared to data from statistics on Accounts for non-agricultural industries and General enterprise statistics, for the activities and size-classes which are covered., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release (Nyt fra Danmarks Statistik - in Danish only), at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Outsourcing, . Furthermore data can be made available to researchers., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-organisation-and-outsourcing

Documentation of statistics