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Currency codes (ISO 4217), v1:2016

Please note, a more current version of this classification is now available. See the current version , here., Name: , VALUTA_ISO_V1_2016 , Description: , ISO 4217, is the International Standard for currency codes. The purpose of ISO 4217 is to define internationally recognised codes of letters and/or numbers that can be used to identify currencies, e.g. for international money transfers or exchange of currencies. This standard was first published in 1978, but many currency codes have been in use before that., The first two letters of a currency code are consistent with country codes that comply with the ISO 3166 standard. The third letter corresponds, where possible, to the initial letter of a country or territory's currency. For example, the currency code for official currency in Denmark is indicated with "DKK", where "DK" is Denmark's country code in ISO 3166 and "K" is the first letter in "Kroner"., Valid from: , January 1, 2016 , Valid to: , December 31, 2016 , 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, AED: UAE dirham, AFN: Afghan afghani, ALL: Albanian lek, AMD: Armenian Dram, ANG: Netherlands Antillian guilder, AOA: Angolan kwanza, ARS: Argentine peso convertible, AWG: Aruban florin, AUD: Australian Dollar, AZN: Azerbaijani manat, BAM: Bosnia and Herzegovina convertible mark, BBD: Barbados Dollar, BDT: Bangladeshi taka, BGN: Bulgarian lev, BHD: Bahraini dinar, BIF: Burundi franc, BMD: Bermudian dollar, BND: Brunei dollar, BOB: Bolivian boliviano, BRL: Brazilian real, BSD: Bahamian dollar, BTN: Bhutanese ngultrum, BWP: Botswana pula, BYR: Belarussian Ruble, BZD: Belize dollar, CAD: Canadian Dollar, CDF: Congolese franc, CHF: Swiss franc, CLP: Chilean peso, CNY: Chinese yuan renminbi, COP: Colombian peso, CRC: Costa Rican colon, CUC: Cuban convertible peso, CUP: Cuban peso national, CVE: Cape Verde escudo, CZK: Czech koruna, DJF: Djibouti franc, DKK: Danish krone, DOP: Dominican peso, DZD: Algerian dinar, EGP: Egyptian pound, ERN: Eritrean nakfa, ETB: Ethiopian birr, EUR: Euro, FJD: Fiji dollar, FKP: Falkland Islands pound, GBP: Pound sterling, GEL: Georgian lari, GHS: Ghanaian cedi, GIP: Gibraltar pound, GMD: Gambian dalasi, GNF: Guinean franc, GTQ: Guatemalan quetzal, GYD: Guyana dollar, HKD: Hong Kong dollar, HNL: Honduran lempira, HRK: Croatian kuna, HTG: Haitian gourde, HUF: Hungarian forint, IDR: Indonesian rupiah, ILS: Israeli new shekel, INR: Indian rupee, IQD: Iraqi dinar, IRR: Iranian rial, ISK: Iceland krona, JMD: Jamaican dollar, JOD: Jordanian dinar, JPY: Japanese yen, KES: Kenyan shilling, KGS: Kyrgyzstani som, KHR: Cambodian riel, KMF: Comorian franc, KPW: North Korean won, KRW: South Korean won, KWD: Kuwaiti dinar, KYD: Cayman Islands dollar, KZT: Kazakhstani tenge, LAK: Lao kip, LBP: Lebanese pound, LKR: Sri Lankan rupee, LRD: Liberian dollar, LSL: Lesotho loti, LYD: Libyan dinar, MAD: Moroccan dirham, MDL: Moldovan leu, MGA: Malagasy ariary, MKD: Macedonian denar, MMK: Myanmar kyat, MNT: Mongolian tugrik, MOP: Macanese pataca, MRO: Mauritanian ouguiya, MUR: Mauritius rupee, MVR: Maldivian rufiyaa, MWK: Malawian kwacha, MXN: Mexican Peso, MYR: Malaysian ringgit, MZN: Mozambican metical, NAD: Namibian dollar, NGN: Nigerian naira, NIO: Nicaraguan cordoba oro, NOK: Norwegian krone, NPR: Nepalese rupee, NZD: New Zealand dollar, OMR: Omani rial, PAB: Panamanian balboa, PEN: Peruvian nuevo sol, PGK: Papua New Guinean kina, PHP: Philippine peso, PKR: Pakistani rupee, PLN: Polish zloty, PYG: Paraguayan guarani, QAR: Qatari rial, RON: Romanian leu, RSD: Serbian dinar, RUB: Russian ruble, RWF: Rwandan franc, SAR: Saudi riyal, SBD: Solomon Islands dollar, SCR: Seychellois rupee, SDG: Sudanese pound, SEK: Swedish krona, SGD: Singapore dollar, SHP: Saint Helena pound, SLL: Sierra Leonean leone, SOS: Somali shilling, SRD: Surinamese dollar, SSP: South Sudanese pound, STD: Sao Tome and Principe dobra, SVC: Salvadoran colón, SYP: Syrian pound, SZL: Swazi lilangeni, THB: Thai baht, TJS: Tajikistani somoni, TMT: Turkmenistani manat, TND: Tunisian dinar, TOP: Tongan pa'anga, TRY: Turkish lira, TTD: Trinidad and Tobago dollar, TWD: New Taiwan dollar, TZS: Tanzanian shilling, UAH: Ukrainian hryvnia, UGX: Ugandan shilling, USD: United States dollar, UYU: Uruguayan peso, UZS: Uzbekistan Sum, VEF: Venezuelan bolivar fuerte, VND: Vietnamese dong, VUV: Vanuatu vatu, WST: Samoan tala, XAF: Central African CFA franc BEAC, XAG: Silver, XAU: Gold, XCD: Eastern Caribbean dollar, XOF: West African CFA franc BCEAO, XPD: Palladium, XPF: CFP franc, XPT: Platinum, XTS: Currency code reserved for testing, XXX: No currency, YER: Yemeni rial, ZAR: South African rand, ZMW: Zambian kwacha, ZWL: Zimbabwe dollar, All versions, Name, Valid from, Valid to, Currency codes (ISO 4217), v1:2019, January 1, 2019, Still valid, Currency codes (ISO 4217), v1:2018, January 1, 2018, December 31, 2018, Currency codes (ISO 4217), v1:2017, January 1, 2017, December 31, 2017, Currency codes (ISO 4217), v1:2016, January 1, 2016, December 31, 2016, Currency codes (ISO 4217), v1:2015, January 1, 2015, December 31, 2015, Currency codes (ISO 4217), v1:2014, January 1, 2014, December 31, 2014

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/valuta-iso?id=4b6d82ad-7c37-482f-80d7-7bd02f640d10

Currency codes (ISO 4217), v1:2018

Please note, a more current version of this classification is now available. See the current version , here., Name: , VALUTA_ISO_V1_2018 , Description: , ISO 4217, is the International Standard for currency codes. The purpose of ISO 4217 is to define internationally recognised codes of letters and/or numbers that can be used to identify currencies, e.g. for international money transfers or exchange of currencies. This standard was first published in 1978, but many currency codes have been in use before that., The first two letters of a currency code are consistent with country codes that comply with the ISO 3166 standard. The third letter corresponds, where possible, to the initial letter of a country or territory's currency. For example, the currency code for official currency in Denmark is indicated with "DKK", where "DK" is Denmark's country code in ISO 3166 and "K" is the first letter in "Kroner"., Valid from: , January 1, 2018 , Valid to: , December 31, 2018 , 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, AED: UAE dirham, AFN: Afghan afghani, ALL: Albanian lek, AMD: Armenian Dram, ANG: Netherlands Antillian guilder, AOA: Angolan kwanza, ARS: Argentine peso convertible, AWG: Aruban florin, AUD: Australian Dollar, AZN: Azerbaijani manat, BAM: Bosnia and Herzegovina convertible mark, BBD: Barbados Dollar, BDT: Bangladeshi taka, BGN: Bulgarian lev, BHD: Bahraini dinar, BIF: Burundi franc, BMD: Bermudian dollar, BND: Brunei dollar, BOB: Bolivian boliviano, BRL: Brazilian real, BSD: Bahamian dollar, BTN: Bhutanese ngultrum, BWP: Botswana pula, BYN: Belarussian Ruble, BZD: Belize dollar, CAD: Canadian Dollar, CDF: Congolese franc, CHF: Swiss franc, CLP: Chilean peso, CNY: Chinese yuan renminbi, COP: Colombian peso, CRC: Costa Rican colon, CUC: Cuban convertible peso, CUP: Cuban peso national, CVE: Cape Verde escudo, CZK: Czech koruna, DJF: Djibouti franc, DKK: Danish krone, DOP: Dominican peso, DZD: Algerian dinar, EGP: Egyptian pound, ERN: Eritrean nakfa, ETB: Ethiopian birr, EUR: Euro, FJD: Fiji dollar, FKP: Falkland Islands pound, GBP: Pound sterling, GEL: Georgian lari, GHS: Ghanaian cedi, GIP: Gibraltar pound, GMD: Gambian dalasi, GNF: Guinean franc, GTQ: Guatemalan quetzal, GYD: Guyana dollar, HKD: Hong Kong dollar, HNL: Honduran lempira, HRK: Croatian kuna, HTG: Haitian gourde, HUF: Hungarian forint, IDR: Indonesian rupiah, ILS: Israeli new shekel, INR: Indian rupee, IQD: Iraqi dinar, IRR: Iranian rial, ISK: Iceland krona, JMD: Jamaican dollar, JOD: Jordanian dinar, JPY: Japanese yen, KES: Kenyan shilling, KGS: Kyrgyzstani som, KHR: Cambodian riel, KMF: Comorian franc, KPW: North Korean won, KRW: South Korean won, KWD: Kuwaiti dinar, KYD: Cayman Islands dollar, KZT: Kazakhstani tenge, LAK: Lao kip, LBP: Lebanese pound, LKR: Sri Lankan rupee, LRD: Liberian dollar, LSL: Lesotho loti, LYD: Libyan dinar, MAD: Moroccan dirham, MDL: Moldovan leu, MGA: Malagasy ariary, MKD: Macedonian denar, MMK: Myanmar kyat, MNT: Mongolian tugrik, MOP: Macanese pataca, MRU: Mauritanian ouguiya, MUR: Mauritius rupee, MVR: Maldivian rufiyaa, MWK: Malawian kwacha, MXN: Mexican Peso, MYR: Malaysian ringgit, MZN: Mozambican metical, NAD: Namibian dollar, NGN: Nigerian naira, NIO: Nicaraguan cordoba oro, NOK: Norwegian krone, NPR: Nepalese rupee, NZD: New Zealand dollar, OMR: Omani rial, PAB: Panamanian balboa, PEN: Peruvian nuevo sol, PGK: Papua New Guinean kina, PHP: Philippine peso, PKR: Pakistani rupee, PLN: Polish zloty, PYG: Paraguayan guarani, QAR: Qatari rial, RON: Romanian leu, RSD: Serbian dinar, RUB: Russian ruble, RWF: Rwandan franc, SAR: Saudi riyal, SBD: Solomon Islands dollar, SCR: Seychellois rupee, SDG: Sudanese pound, SEK: Swedish krona, SGD: Singapore dollar, SHP: Saint Helena pound, SLL: Sierra Leonean leone, SOS: Somali shilling, SRD: Surinamese dollar, SSP: South Sudanese pound, STN: Sao Tome and Principe dobra, SVC: Salvadoran colón, SYP: Syrian pound, SZL: Swazi lilangeni, THB: Thai baht, TJS: Tajikistani somoni, TMT: Turkmenistani manat, TND: Tunisian dinar, TOP: Tongan pa'anga, TRY: Turkish lira, TTD: Trinidad and Tobago dollar, TWD: New Taiwan dollar, TZS: Tanzanian shilling, UAH: Ukrainian hryvnia, UGX: Ugandan shilling, USD: United States dollar, UYU: Uruguayan peso, UZS: Uzbekistan Sum, VEF: Venezuelan bolivar fuerte, VES: Venezuelan bolivar soberano, VND: Vietnamese dong, VUV: Vanuatu vatu, WST: Samoan tala, XAF: Central African CFA franc BEAC, XAG: Silver, XAU: Gold, XCD: Eastern Caribbean dollar, XOF: West African CFA franc BCEAO, XPD: Palladium, XPF: CFP franc, XPT: Platinum, XTS: Currency code reserved for testing, XXX: No currency, YER: Yemeni rial, ZAR: South African rand, ZMW: Zambian kwacha, ZWL: Zimbabwe dollar, All versions, Name, Valid from, Valid to, Currency codes (ISO 4217), v1:2019, January 1, 2019, Still valid, Currency codes (ISO 4217), v1:2018, January 1, 2018, December 31, 2018, Currency codes (ISO 4217), v1:2017, January 1, 2017, December 31, 2017, Currency codes (ISO 4217), v1:2016, January 1, 2016, December 31, 2016, Currency codes (ISO 4217), v1:2015, January 1, 2015, December 31, 2015, Currency codes (ISO 4217), v1:2014, January 1, 2014, December 31, 2014

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/valuta-iso?id=bda171a9-bca0-4065-bec8-18b4608fcbfd

Classification of education (DDU), completed educations, v1:2023

Please note, a more current version of this classification is now available. See the current version , here., Name: , DDU_AUDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Valid to: , January 31, 2026 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DDU), completed educations, v1:2023, December 1, 2023, January 31, 2026

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd?id=2a22d134-f097-4d6e-91a6-0cdd6cafca7b

Documentation of statistics: Names

Contact info, Population and Education, Social Statistics , Dorthe Larsen , +45 23 49 83 26 , dla@dst.dk , Get documentation of statistics as pdf, Names 2026 , Previous versions, Names 2021, Names 2020, Names 2017, Names 2016, Names 2014, Statistics on names covers first names and surnames in the Danish population and was established in 1995, initially as a project for the Department of Name Research at Copenhagen University., Statistical presentation, The statistics on names are split up into two different statistics. One concerns the whole population in Denmark at 1st January by first name and surname. The other concerns names given to newborn children during a given year., Read more about statistical presentation, Statistical processing, Statistics on names is based on the Central Person Register (CPR) based on the total population and newborns as in the population statistics. The number of people with different first names and surnames using only the first and the last name for a person., Read more about statistical processing, Relevance, The Department of Nordic Studies and Linguistics (NorS) at Copenhagen University, the media, private people and private businesses are using the statistics for public and private purposes., Read more about relevance, Accuracy and reliability, The statistics are based on the population registered in the Central Person Register (CPR) as calculated in the population statistics, where the main source of uncertainty in the population figure is delayed registration of emigrants., Read more about accuracy and reliability, Timeliness and punctuality, Names of newborn children are published in the middle of July, in the year after end of the reference year. Names of the total population are calculated per 1st January and are published in the middle of February. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Statistics on names of the total population is comparable since 2002 and statistics on names of newborn children can be compared since 1985. From 1996 the statistics concerning names includes all people living in Denmark. Before 1996 the statistics concerning names only included Danish citizens living in Denmark. The statistics concerning names are internationally comparable., Read more about comparability, Accessibility and clarity, Statistics on names are published in two separate Danish press releases. Lists of names are available on the subject pages concerning , Names of the total population, and , Names of newborn children, ., In the name database , How many Danes have the name..., it is possible to enter a first name and/or surname and find out how many have a given name., In Statistics Denmark's , Barometer of names, it is possible to enter a first name and see the development in how many newborns have been given a given first name over the years., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/names

Documentation of statistics

Documentation of statistics: Census of Buildings

Contact info, Short Term Statistics, Business Statistics , Kasper Emil Dueholm Freiman , +45 23 45 47 32 , KFR@dst.dk , Get documentation of statistics as pdf, Census of Buildings 2022 , Previous versions, Census of Buildings 2019, Census of Buildings, 1 January 2018, Census of Buildings, 1 January 2017, Census of Buildings, 1 January 2016, Census of Buildings, 1 January 2015, Census of Buildings, 1 January 2014, The statistics yearly describe the stock of buildings in Denmark. The Census of buildings - together with the Census of Housing - is since 1981 and based on administrative registers a continuing of the questionnaire based Census on Population and Housing., Statistical presentation, The statistics are compiled from a full-scale census, 1st January. Before 2011 are small buildings (e.g. garages, carports, outhouses) excluded from the stock. The statistics describe the stock of buildings analyzed by type of use, size, ownership, heating installation, roof covering and external cladding materials, water and effluent installations, and year of construction. The statistic is used by municipals, ministries, the press, companies and private people., Read more about statistical presentation, Statistical processing, The statistic covers all buildings in the Registry of buildings and Dwellings. Data is validated at the building level. The aggregated numbers are checked against earlier years., Read more about statistical processing, Relevance, The statistic is used by municipalities, counties, government departments, private and semi- private organizations and firms, the news media and private persons. It is used for public and private planning, education and public debate., Read more about relevance, Accuracy and reliability, The quality of the statistic is believed to be high. A survey of the overall accuracy of the Central Register of Buildings and Dwellings has never been conducted. But the degree of unknown variables is small., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published medio July, normally on time., Read more about timeliness and punctuality, Comparability, With some exceptions the data are consistent back to January 1, 1986(see comparability over time). A complete comparability with the statistic of constructions is, for several reasons, not possible., Read more about comparability, Accessibility and clarity, The newest numbers are published at [STATBANK] https://www.dst.dk/en/Statistik/emner/byggeri-og-anlaeg/bygninger.aspx). The numbers are also used in The Statistical Yearbook and in the Statistical Ten-Year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/census-of-buildings

Documentation of statistics

Documentation of statistics: Account Statistics for Fishery

Contact info, Food Industries, Business Statistics , Charlotte Spliid Hansen , +45 29 41 97 76 , chh@dst.dk , Get documentation of statistics as pdf, Account Statistics for Fishery 2024 , Previous versions, Account Statistics for Fishery 2023, Account Statistics for Fishery 2022, Account Statistics for Fishery 2021, Account Statistics for Fishery 2020, Account Statistics for Fishery 2019, Account Statistics for Fishery 2018, Account Statistics for Fishery 2017, Account Statistics for Fishery 2016, Account Statistics for Fishery 2015, Account Statistics for Fishery 2014, Account Statistics for Fishery 2013, Account Statistics for Fishery 2012, The purpose of the Account Statistics for Fishery is to review the economy of the fishery sector. The statistics is used in economic models and as a basis for yearly economic statistical reports for the fishery to EU (DG Mare). The statistics has been produced by Department of Food and Resource Economics at University of Copenhagen since 1996 and was transferred to Statistics Denmark from January 2009., Statistical presentation, The Account Statistics for Fishery covers the commercially fishery by fishing vessels registered in Denmark. The statistics is based on vessel units and is calculated for groups of fishing vessels (fleet segments) based on vessel size and main gear use., Read more about statistical presentation, Statistical processing, The authorized accountants report yearly the account for their fishery client. The collected accounts are thoroughly tested. When all accounts has been approved for statistical use, the sample of approved accounts are used together with register data for the entire population to simulate individual accounts for all units not in the sample. The complete dataset with individual balanced accounts for all units in the population is merged with register data on vessel characteristics, gear use etc. in order to calculate parameters for statistical groups (vessel segments)., Read more about statistical processing, Relevance, The statistics is relevant for government administration, researchers and stakeholders within the fisheries. Furthermore the data is used in the Fleet Economic Report to EU. , Read more about relevance, Accuracy and reliability, The statistic is based on a sample and the results are uncertain. The precision rely on the covering of the sample. Therefore the sample rate is bigger for vessels with high revenue. The aim is each year to include the 100 biggest vessels in the sample, and that approximately 80 per cent of the total value of landings in Danish fishery come from the vessels in the sample. Investments have the most uncertainty, because exchange of a vessel could result in closure of the fishing firm, and set up a new firm to run the new vessel., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally made public before one year after the conclusion of the refence year., Read more about timeliness and punctuality, Comparability, The Account Statistics for Fishery is prepared using the same overall principles as the account statistics for agriculture, horticulture and aquaculture. The statistics has been prepared yearly since 1996. Break in series occurs in 2022 due to changes in methods for calculation population cutoff, as well as a new and improved basis for classifying which fishing types the vessels are grouped into. Break in series also occurs in 2001 due to inclusion of unpaid salary to active (working) partners, and in 2009 and again 2012 due to improved calculation of the capital value of fishing rights., Read more about comparability, Accessibility and clarity, The statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, the statistics can be found under the subject , Fishery, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/account-statistics-for-fishery

Documentation of statistics

Documentation of statistics: Sales of Pesticides and Pesticides Usage in Crop Farming

Contact info, Food Industries , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Sales of Pesticides and Pesticides Usage in Crop Farming 2016 , Previous versions, Sales of Pesticides and Pesticides Usage in Crop Farming 2014, The purpose of this statistic is to illuminate the sale and use of pesticides in agricultural crops. The statistics are used inter alia to assess the environmental and health risks associated with the use of pesticides. The statistics are comparable from 1981 onwards., Statistical presentation, The statistics are an annual statement of pesticide sales and pesticide use in agricultural crops, by weight and frequency of treatment. Pesticide sales are divided into pesticide type and pesticide group., Read more about statistical presentation, Statistical processing, Data are collected by Environmental Protection Agency., Read more about statistical processing, Relevance, The statistics cover the need for information on which substances and amounts of pesticides that are being used. This information is used along with the documentation used in connection with approval of pesticides, as an essential prerequisite in order to assess some of the environmental and health risks associated with the use of pesticides., Read more about relevance, Accuracy and reliability, Errors may occur in connection with registration of data in The Ministry of Environment as a a huge amount of data information is involved. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published no later than the year after the end of the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, The Danish Crop Protection Association also collects data about sales of pesticides. However, the material is not suitable for use in connection with the compilation of pesticide statistics as the association only has nineteen members. The statistics can give a rough idea about developments. The statistics are published earlier than data are received from the Danish Environmental Protection Agency., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark under the topic , Raw materials and auxiliaries, in the tables , PEST1, and [PEST2](http: //http://www.Statbank.dk/PEST2)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-pesticides-and-pesticides-usage-in-crop-farming

Documentation of statistics

Documentation of statistics: Mining and Quarrying

Contact info, Food Industries, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Mining and Quarrying 2024 , Previous versions, Mining and Quarrying 2023, Mining and Quarrying 2022, Mining and Quarrying 2020, Mining and Quarrying 2019, Mining and Quarrying 2018, Mining and Quarrying 2017, Mining and Quarrying 2016, Mining and Quarrying 2014, Mining and Quarrying 2013, The mining and quarrying statistics show the amount and type of mining and quarrying in Denmark. The statistics have been made since 1973 but is only comparable since 2006., Statistical presentation, The mining and quarrying statistics are a yearly measurement of extracted raw material types from land and from the sea floor stated in Cubic meters. The statistics are grouped by raw material types, by administrative regions and municipalities., Read more about statistical presentation, Statistical processing, Data are annually collected from all extractors on land. The reported data are controlled for errors by comparing changes over time in the municipalities and for the totals for each resource category. Figures for raw materials extracted from the sea are controlled for errors in the same way., Read more about statistical processing, Relevance, There is great interest for the published figures on raw materials among the Regions, which use the statistics to make extraction plans. The statistics are also requested by municipalities, industry organizations, other public and private institutions, researchers, companies and the news media. The statistics are used in the compilation of the environmental-economic accounts in the national accounts., Read more about relevance, Accuracy and reliability, These statistics are based on a full census with complete coverage, as all extractors of raw materials are required to report. The data form the basis for taxation and are verified by the authorities, who already have a good overview of the quantities extracted., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about 6 months after the end of the reference period. Publications are generally released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The statistics are comparable at municipal level back to 1980. The data collected and the level of detail have remained unchanged throughout the period. Data quality and reliability are expected to be higher after 1 January 1990, when a raw material tax was introduced, resulting in increased control of the reporting by the authorities. As of 2007, data are compiled according to the new municipal and regional structure, and reliability is considered slightly lower than before 2007 due to problems with implementation of the new municipality-reform in 2007., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 , Mining and quarrying, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/mining-and-quarrying

Documentation of statistics

Documentation of statistics: Business Services in the Sector for Cleaning Activities (Discontinued)

Contact info, Missing , Get documentation of statistics as pdf, Business Services in the Sector for Cleaning Activities 2005 , Previous versions, These statistics are no longer produced. A quality statement an old format is available as a PDF file: , Business Services in the Sector for Cleaning Activities, .

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-cleaning-activities--discontinued-

Documentation of statistics

Documentation of statistics: Business Services in the Sector for Forwarding Agents (Discontinued)

Contact info, Missing , Get documentation of statistics as pdf, Business Services in the Sector for Forwarding Agents 2006 , Previous versions, These statistics are no longer produced. A quality statement an old format is available as a PDF file: , Business Services in the Sector for Forwarding Agents, .

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-forwarding-agents--discontinued-

Documentation of statistics