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Documentation of statistics: Migration to and from Denmark (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Migration to and from Denmark 2016 , Previous versions, Migration to and from Denmark 2015, Migration to and from Denmark 2013, The purpose of the statistic is to describe the total immigration to Denmark and emigration from Denmark which have occurred during the period., Statistical presentation, The statistic describes immigration to Denmark and emigration from Denmark. A newsletter is published when the statistic is ready. The statistic is published each quarter. With the dissemination of the 4th quarter statistics an annual statistic for entire year is also published., At the same time tables in the Statbank are updated. Immigration and emigration can be broken down by age, sex, municipality, citizenship and country of origin or country of destination., Read more about statistical presentation, Statistical processing, CPR (central population register) is the source for information about migration., Data is processed 30 days after the end of the reference year and published shortly after. For 2013 the statistic was published 11 February 2014., Read more about statistical processing, Relevance, Municipalities, regions, ministries, organizations, research institutions, private enterprises, news media and individuals are among the users., Read more about relevance, Accuracy and reliability, Emigration numbers are systematically underestimated. This is due to the fact that many people move abroad without telling the authorities. It is the municipalities who are responsible for the maintenance of the CPR. The correct numbers for emigration is estimated to be about 15-20 percent higher than the published., A similar problem is not an issue for immigration where the underestimation is about 1-2 percent., Therefore it is not possible to have a correct measure for net migration simply by subtracting emigration from immigration. That would overestimate net migration., Persons who take up residence in Denmark without being registered in the CPR are not included among immigrated in the statistic., Asylum seekers are not included among immigrated in the statistic. It is only when they get a residence permit and are registered in the CPR that they will counted as immigrated., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately 6 weeks after the end of the reference period. These statistics have always been published as planned., Read more about timeliness and punctuality, Comparability, There is a break in the series in 2007, where a new way of calculating the annual immigration and emigration was introduced. The changes are particularly relevant for emigration where the new method results in lower numbers., Read more about comparability, Accessibility and clarity, Statistic is published in newsletter and tables in the Statbank., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/migration-to-and-from-denmark--discontinued-

Documentation of statistics

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: 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: Interest and Share Price Indices

Contact info, Government Finances , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, Interest and Share Price Indices 2024 , Previous versions, Interest and Share Price Indices 2023, Interest and Share Price Indices 2022, Interest and Share Price Indices 2021, Interest and Share Price Indices 2020, Interest and Share Price Indices 2019, Interest and Share Price Indices 2018, Interest and Share Price Indices 2017, The purpose of these statistics is to illustrate developments in interest rates and share indices in the financial markets. These statistics are intended for analysis purposes. The daily updates can be found at Nasdaq OMX Nordic or other media covering this financial area., Statistical presentation, The selected information includes for example a selection of money market interest rates, effective rate on leading bonds and share price indices., Read more about statistical presentation, Statistical processing, The primary statistical data are not stored by Statistics Denmark but by the individual producers of the statistics., Read more about statistical processing, Relevance, The primary users are public authorities, private business sector and interested citizens., Read more about relevance, Accuracy and reliability, The figures originate directly from observations in the financial markets. The published figures are therefore not based on calculations and no estimations are made. The statistics show the actual historical values in the markets and are not revised later. For further information please refer to the authorities that collect the basic information., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of these statistics is 20 to 45 days after the reference period expires depending on the time series. These statistics is usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are generally high comparability over time, there may be some problems of comparability for some time series statistics. For comparisons across countries should be obtained from the concerned authority collecting basic information., Read more about comparability, Accessibility and clarity, Data can be found in the following tables in the StatBank: , Danmarks Nationalbanks official interest rates, inter-bank interest rate and average bond, , , Share index, , , The bank's average deposit and lending interest rates, , , Effective rate on bonds, and , Government bond yields by country, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/interest-and-share-price-indices

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

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: 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