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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: 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: Lunch schemes in daycare institutions (Discontinued)

Contact info, Population and Education , Jens Bjerre , +45 29 16 99 21 , JBE@dst.dk , Get documentation of statistics as pdf, Lunch schemes in daycare institutions 2018 , Previous versions, These statistics show the children's lunch schemes in daycare institutions. The figures can be used for cross-municipal comparison. This survey is compiled for the first time in 2018, with figures for 2018., Statistical presentation, This survey is an annual estimate of who is responsible for lunch schemes in daycare institutions, including whether the lunch scheme is organized by the municipality, the parents, the daycare institution itself or the children themselves bring packed lunches. These statistics are grouped by type of institution, age groups and municipalities., Read more about statistical presentation, Statistical processing, Information on lunch schemes have been collected through a combination of interviews including web surveys, telephone interviews and direct interviews with municipalities and institutions. Validation primarily consist of re-contact with the municipalities and institutions in question., Read more about statistical processing, Relevance, The survey can be used for comparison across lunch-schemes in municipalities. It can further be used by parents to assess who is arranging lunch-schemes in the municipality where their children goes to day-care institution. These statistics are compiled on the basis of an agreement between the Ministry of Children and Social Affairs and Statistics Denmark. , Read more about relevance, Accuracy and reliability, There is uncertainty in the with few answers from the day-care facilities . Such errors are not systematically and have little effect to the accuracy. The accuracy might further be affected by not representing all day-care facilities in Denmark. The elimination of day-care facilities in the data processing and the limits to the survey design implies that some day-care facilities are missing in the data., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are initially published on 30 November 2018 with figures for 2018. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, These statistics are comparable between municipalities. These statistics have so far only been produced for the year 2018. Comparability over time is thus not yet possible., Read more about comparability, Accessibility and clarity, The statistics are published on Statistikbanken under Institutions in the tables FROK2 and FROK3., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/lunch-schemes-in-daycare-institutions--discontinued-

Documentation of statistics

Documentation of statistics: Relocations (Discontinued)

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

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

Documentation of statistics

Documentation of statistics: 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: Households, Families and Children (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Households, Families and Children 2017 Month 01 , Previous versions, Households, Families and Children 2016, Households, Families and Children 2014, The statistics describe the resident population in Denmark. Statistics are produced covering three different kinds of units: households, families and persons. The statistics describe these units on the basis of household- and family-related variables (e.g. type of family, type of family with children, size of family, type of household)., Statistical presentation, The statistics on households and families describe the total population living in Denmark. Statistics are produced covering three different kinds of units: households, families and persons. The statistics describe these units on the basis of household- and family-related variables (e.g. type of family, size of family, type of household). The basis for the statistics consists solely of CPR data on sex, age, marital status, references to spouses and parents, and address specification. The address data form the basis of the division into households, municipalities and regions., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) provide the basis for the statistics., No corrections are made., Read more about statistical processing, Relevance, The statistics are used by municipalities, regions, ministries, labour market organizations, international organizations, the media and private persons for public and private planning purposes and as basis for public debate., Read more about relevance, Accuracy and reliability, It is very important for the primary data of the statistics that the address information is reliable. The statistics are influenced by the extent to which the population is not registered in the CPR register at correct addresses. No estimates are made of the scale of this problem, and it is not possible to make corrections for this., Read more about accuracy and reliability, Timeliness and punctuality, Statistics on households and families are published approx. 45 days after January 1st. Statistics on families with children are published approx. 135 days after January 1st., Read more about timeliness and punctuality, Comparability, The definition of families was changed in 2008. Statistics on families based on the new definition are accessible from the database Statbank Denmark back to 1986. These data cannot be compared to family statistics published before 2008., Read more about comparability, Accessibility and clarity, News from Statistics Denmark (Nyt fra Danmarks Statistik), Population and Elections (Statistical News (Statistiske Efterretninger)), StatBank Denmark (Danmarks Statistikbank). Statistical Yearbook, Statistical 10-year Review, the annual publication Vital Statistics (Befolkningen Udvikling).*, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/households--families-and-children--discontinued-

Documentation of statistics

Documentation of statistics: Government Finance , Quarterly Accounts (Discontinued)

Contact info, Government Finances , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Government Finance , Quarterly Accounts 2023 , Previous versions, Government Finance , Quarterly Accounts 2022, Government Finance , Quarterly Accounts 2021, Government Finance , Quarterly Accounts 2020, Government Finance , Quarterly Accounts 2019, The purpose of Quarterly General Government finances is to give a overview over expenditure and revenue in the general government sector. The statistics is used to analyze the public economy. Data are available and comparable from the first quarter 1999 and onward. The statistics is published within three months of the end of the quarter., Statistical presentation, The statistics show the quarterly expenditure and revenue in the sector of general government. The statistics include more data on taxes, income transfers to households and public consumption. The statistics are published within three months of the end of the quarter to which the data concerns. All numbers are in current prices., Read more about statistical presentation, Statistical processing, The main source for the statistics is the accounts of the state, municipalities and regions. The numbers are supplemented by other sources. Estimates are included for the supplement period. For numbers that are not accrued appropriately to the quarters, a calculation is made based on the numbers for the previous quarters, which are distributed among the quarters. There is conducted error detection and validation of the numbers. Table OFF10K and OFF12K are adjusted for seasonal effects., Read more about statistical processing, Relevance, The statistics covers the sector of government finances. The statistic has a lot of interested parties including ministries, politicians, the press and Eurostat., Read more about relevance, Accuracy and reliability, There is no estimation on the uncertainty. Error accounting records are much more frequent in the quarterly accounting reports than in annual accounting reports. The quarterly accounting reports for the central government, regions and municipalities are not represented a final accounting for the quarter. They rather represent a snapshot of the expenditure and revenue recorded at the end of the quarter., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date which is three months after the end of the quarter. , Read more about timeliness and punctuality, Comparability, There is complete comparability with government finance statistics in other countries complying with international standards, i.e. ESA 2010 and SNA 2008. There is comparability over time, but the numbers are calculated at current prices., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, (News from Statistics Denmark)., Information is also available from Statbank Denmark at , Statistikbanken, in the tables , OFF3K, , , OFF26K, , , OFF10K, og , OFF12K, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-finance---quarterly-accounts--discontinued-

Documentation of statistics

Documentation of statistics: Stocks of Wholesale

Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Stocks of Wholesale 2025 , Previous versions, Stocks of Wholesale 2024, Stocks of Manufacturers and Wholesale 2022, Stocks of Manufacturers and Wholesale 2021, Stocks of Manufacturers and Wholesale 2019, Stocks of Manufacturers and Wholesale 2018, Stocks of Manufacturers and Wholesale 2017, Stocks of Manufacturers and Wholesale 2016, Stocks of Manufacturers and Wholesale 2015, Stocks of Manufacturers and Wholesale 2014, The primary purpose of the statistics stocks of wholesale is to deliver timely figures for changes in stocks for use in the quarterly national accounts statistics. The statistics were first published in 1987, but the current form started in 2001., Statistical presentation, The statistics describe quarterly changes in the stocks of manufacturing and whole sale. , Read more about statistical presentation, Statistical processing, Data on stocks by the end of each quarter is collected through a survey of approx. 250 units. The reported data are validated, before they are grossed up from the sample to the population. Selected series are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are important for the quarterly National Accounts. They are also used by ministries, banks, trade associations and others that want to include stock changes in assessments of the short-term economic situation., Read more about relevance, Accuracy and reliability, The sample has not been updated in several years and the method of grossing up very basic. However, it is still believed that the statistics present a good indication of stock changes, as all the largest enterprises are included - and it is to a very large degree the large enterprises that account for the significant changes in stock., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 55 days after the end of the quarter with high punctuality. The statistics are finally after half a year., Read more about timeliness and punctuality, Comparability, Several countries produce statistics on stock changes, but there are no international or European regulations that ensure comparability. , The statistics measure only stock changes. For total stocks, see the , accounts statistics, ., The statistics go back to 1987., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and quarterly in the StatBank. In the StatBank, these statistics can be found under , Stocks of manufacturing industries, and , Stocks of wholesale, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/stocks-of-wholesale

Documentation of statistics

Documentation of statistics: Price of North Sea oil

Contact info, Prices and Consumption, Economic Statistics , Andreas Strøander Pedersen , APD , apd@dst.dk , Get documentation of statistics as pdf, Price of North Sea oil 2025 , Previous versions, Price of North Sea oil 2023, Price of North Sea oil 2022, These statistics show an average price for North Sea oil sold, that reflects the characteristics applied to oil production in the Danish part of the North Sea. These statistics are produced and disseminated as part of the Hydrocarbon Tax Act and were first published in 2023 with figures for 2022., Statistical presentation, These statistics provide annual figures with the yearly average of the prices of the North Sea oil sold, quoted in US dollars (USD)., Read more about statistical presentation, Statistical processing, Price data for sold North Sea oil is collected annually. Statistics Denmark validates data including checking that there is data for all trading days. Statistics Denmark then uses the published reference price (PCAAS00) as the basis for calculating the average crude oil price during the year. The calculation is made as a simple average of the daily-published reference prices., Read more about statistical processing, Relevance, The statistics are relevant to SKAT as a basis for hydrocarbon taxation, which is described in more detail in the Hydrocarbon Tax Act., Read more about relevance, Accuracy and reliability, The use of the oil price collected from S&P Global Commodity Insights, PCAAS00, as well as the calculation of the annual price as a simple average, is specifically mentioned in the comments to the Hydrocarbon Tax Act, the price's precision and representativeness for Danish North Sea oil is affected both by which fields are incorporated into the price for North Sea oil and how S&P Global Commodity Insights makes quality adjustments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 15 days after the end of the year, i.e. no later than February 15. The statistics are published without delays in relation to planned publication times., Read more about timeliness and punctuality, Comparability, These statistics will be published for the first time in 2023, and the statistics are prospectively comparable to previous years. The representativeness of the collected price data is continuously assessed by Statistics Denmark and an expert group consisting of the Nordsøfonden and the Energy Agency., Read more about comparability, Accessibility and clarity, The statistics are published annually in the statistics bank under environment and energy, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/price-of-north-sea-oil

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: , Metode og Data Science , 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