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

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 More modern media appliances are included in the statistics, whilst others are withdrawn.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

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

Documentation of statistics

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

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

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

Documentation of statistics

Documentation of statistics: Wholesale Trade, by Goods (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Wholesale Trade, by Goods 2013 , Previous versions, Wholesale Trade, by Goods 2008, The purpose of the analysis is to shed light on the turnover structures of wholesale trade. Surveys have been conducted for the first time in 2009 with reference year 2008 ., Statistical presentation, The statistics provide data on the structure of wholesale trade turnover, industry turnover breakdown by product groups as well as product group wholesales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Wholesales Trade sector. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within wholesale trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within whole trade, as the results may allow them to compare their own business to their sector of trade or the wholesale trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 2008 and 2013., Read more about comparability, Accessibility and clarity, Nyt, and , STATBANK, from Statistics Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/wholesale-trade--by-goods--discontinued-

Documentation of statistics

Vietnam 2022-2024

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

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

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

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

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

Documentation of statistics

Documentation of statistics: Public libraries (Discontinued)

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

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

Documentation of statistics

Standard multipliers

The multiplier experiments are carried out by changing one or a few of the exogenous variables. Then the model is simulated to calculate the effect on the endogenous variables. There is no provision for possible ties between the exogenous variables. This means that one has to be careful when interpreting the experiments as real world economic events are rarely confined to changes in one exogenous variable., All experiments expand economic activity. In some experiments the effect is temporary and in others the effect is permanent. In general, a demand shock in ADAM like an additional public purchase of goods, affects production and employment in the short run. However, in the long run a demand shock has no effect on employment. In contrast, a supply shock such as an increase in the labor force has a permanent effect on employment. This is in line with most models of a small open economy with a fixed exchange rate and a Phillips curve., There is no monetary reaction function and there is no fiscal reaction function in ADAM, which should be taken into consideration when comparing to models for other countries. Also the specific laws and rules modelled in ADAM (e.g. regulatory mechanisms in taxes and transfers) affect the comparison with other countries., ADAM multipliers - October 2015 (preliminary version), Starting with the October 2015 version, the labour supply multiplier is also calculated with increased export price elasticity in the model., The calculations are made with the model version October 2015 using the baseline lang15., ADAM multipliers - October 2014, The calculations are made with the model version October 2014 using the baseline lang14., ADAM multipliers - June 2014, From the June 2014 version and onwards, all shocks to economic policy instruments have been scaled to represent 0.1 per cent of GDP at constant prices. For multipliers on earlier model versions, the policy shock represented 1000 mill. Dkr. at constant prices., The calculations are made with the model version June 2014 using the baseline lang14., ADAM multipliers - July 2013, The calculations are made with the model version July 2013 using the baseline lang13., ADAM multipliers - October 2012, The calculations are made with the model version October 2012 using the baseline lang13., ADAM multipliers - December 2009, From the December 2009 version and onwards, two multipliers (the public purchase multiplier and the labour supply multiplier) have also been calculated under a budget constraint to illustrate the consequences of a fiscal rule., The calculations are made with the model version December 2009 using the baseline lang11.

https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer/multiplikatorer

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

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: Business Dynamics

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Martin Ausker , +45 42 16 82 16, mau@dst.dk, Accounts Statistics, Senior Adviser, Senior Adviser, Jeppe Strandgaard Herring , +45 24 44 43 06, jhr@dst.dk, Senior Adviser, Senior Adviser, Søren Østerballe , +45 23 42 32 97, srb@dst.dk, Head Clerk, Head Clerk, Iben Amalie Arce , +45 20 55 19 86, iaa@dst.dk, Head Clerk, Head Clerk, Annette Rasmussen , +45 24 87 73 22, apr@dst.dk, Senior Clerk, Senior Clerk, Tonia Shcheglova , +45 30 58 51 29, ton@dst.dk, Senior Head Clerk, Senior Head Clerk, Tanja Jørgensen , +45 24 87 75 92, tnj@dst.dk, Senior Head Clerk, Senior Head Clerk, Maiken van Hauen Nielsen , +45 21 34 91 21, mvn@dst.dk, Enterprise Statistics and Globalisation, Chief Adviser, Chief Adviser, Kalle Emil Holst Hansen , +45 21 58 48 87, khs@dst.dk, Chief Adviser, Chief Adviser, Peter Bøegh Nielsen , +45 41 10 31 41, pbn@dst.dk, Senior Adviser, Senior Adviser, Alina Grecu , +45 30 55 18 24, agc@dst.dk, Head of Section, Head of Section, Emil Tappe Bang-Mortensen , +45 24 67 85 25, ebm@dst.dk, Head of Section, Head of Section, Asbjørn Hviid Mikkelsen , +45 29 42 68 36, ahm@dst.dk, Head of Section, Head of Section, Julie Cathrine Krabek Sørensen , +45 23 66 46 60, jck@dst.dk, Senior Head Clerk, Senior Head Clerk, Kamilla Elkjær , +45 23 45 44 37, kea@dst.dk, FKV, Chief Adviser, Chief Adviser, Jon Mortensen , +45 23 69 32 37, jmo@dst.dk, Senior Adviser, Senior Adviser, Dennis Pipenbring , +45 51 49 18 45, dpi@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=11&tlfbogsort=sektion