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Documentation of statistics: Household Budget Survey

Contact info, Prices and Consumption, Economic Statistics , A Solange Lohmann Rasmussen , +45 61 15 17 93 , slr@dst.dk , Get documentation of statistics as pdf, Household Budget Survey 2024 , Previous versions, Household Budget Survey 2023, Household Budget Survey 2022, Household Budget Survey 2021, Household Budget Survey 2020, Household Budget Survey 2019, Household Budget Survey 2018, Household Budget Survey 2017, Household Budget Survey 2016, Household Budget Survey 2015, Household Budget Survey 2014, Household Budget Survey 2013, The Household Budget Survey describes in detail the Danish households' expenditure on goods and services and the economic condition of the households. The statistics are used to compile weightings in the Consumer Price Index and for calculation of the private consumption in the National Accounts. The statistics were first compiled in 1897 and annually since 1994., Statistical presentation, The Household budget survey is an annual statement of the detailed private consumption at household level for private households in Denmark. The survey covers private households in Denmark. The household budget survey provides a detailed breakdown of consumption. In the most detailed breakdown, consumption is divided into approx. 1,200 different consumption types., Read more about statistical presentation, Statistical processing, The Household Budget Survey is a sample survey in which approximately 2,600 households are selected from Denmark’s total of around 2.9 million private households. From 2024, data will be collected annually from about 1,300 households, and the sample for a given year’s survey is based on data collected over a two‑year period., The survey includes information from three data sources: accounts, interviews, and administrative registers., All consumption expenditures, incomes, etc. are adjusted to correspond as closely as possible to the price and volume level of the final year., Read more about statistical processing, Relevance, In addition to the general public the Household Budget Survey has a wide application. Internally in Statistics Denmark during the compilation of national accounts and price indexation. Public authorities' planning and feasibility studies, etc. Internationally, where especially EUROSTAT is very active in order to establish comparable figures between countries. Research in a number of areas, as well as for marketing purposes., Read more about relevance, Accuracy and reliability, Only 8 percent of the contacted households chose to participate in the Household Budget Survey. This creates uncertainty, particularly for detailed consumption groups. For total consumption, this results in a margin of uncertainty of ±1.4 percent, while for items such as bread it is 1.8 percent, and as high as 18.6 percent for a rarely purchased item such as offal. There is underreporting in several areas, such as alcohol, tobacco, prostitution, and undeclared work. Uncertainty is greater when data are based on diary entries rather than interviews, and it increases further when looking at smaller subgroups of households., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately12 months after the end of the reference year. The statistics are usually published according to the time announced. , Read more about timeliness and punctuality, Comparability, The Household Budget Survey is carried out in accordance with the guidelines of Eurostat, the Statistical Office of the European Union. Comparable figures are published by Eurostat. From 1994 onwards, the survey methodology was revised so that the survey is now conducted annually using the same method and on a comparable basis., Data for the years 2014 to 2022 were based on a two‑year sample and the ECOICOP nomenclature. To ensure comparability over time, data from 1994 to 2013 were recalculated according to this nomenclature in both current and constant prices., From 2024, COICOP2018 has been implemented in the Household Budget Survey as a result of the survey becoming regulation‑based. Data from 2015–2022 have been recalculated in both current and constant prices according to COICOP2018 to ensure continuity., Read more about comparability, Accessibility and clarity, The Danish Household Budget Survey is published 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 , Household Budget Survey, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/household-budget-survey

Documentation of statistics

Documentation of statistics: Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages

Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , hhu@dst.dk , Get documentation of statistics as pdf, Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages 2023 , Previous versions, Documents associated with the documentation, Spørgeskema til Brændeundersøgelsen 2023 (xlsx) (in Danish only), The purpose of the study is to assess the number of wood stoves, etc., and to calculate the consumption of firewood and other biomass for heating in Danish households' homes and holiday homes. The results of the study are used, among other things, for the Danish Energy Agency's annual energy statistics and the Ministry of the Environment's assessment of emissions from wood stoves in Denmark. The study is based on a survey sent to a sample of households in Denmark. The study is conducted every two years, and reports dating back to 2009 can be found on the Danish Energy Agency's website. Statistics Denmark carried out the current study in collaboration with the Danish Energy Agency., Statistical presentation, The statistics calculate the number of homes and holiday homes that are entirely or partially heated by wood stoves, etc., and the proportion these homes represent of the total housing stock. Additionally, the total consumption of firewood, etc., corresponding to the year 2023 is calculated. The results are presented as totals and broken down by geography, primary heat sources, wood stove types, and housing types., Read more about statistical presentation, Statistical processing, The firewood survey is a sample-based survey. The interviews were collected via a web-based questionnaire, with approximately 20,000 responses most recently collected. The selected respondents are scaled to a national level using background information from population and housing statistics registers. The results are adjusted for non-responses, and data is error-checked at both micro and macro levels. During data processing, a limited number of responses are corrected due to inconsistencies or obviously incorrect answers. Household use of firewood, wood briquettes, and wood pellets is converted from physical quantities to total energy consumption based on standard values for energy content., Read more about statistical processing, Relevance, The survey was developed with support from a working group with representatives from the Danish Energy Agency and the Danish Environmental Protection Agency, who use the results for calculating energy consumption and particle emissions from wood-burning stoves. Additionally, the statistics are of interest to others concerned with energy and the environment. As the survey is new under Statistics Denmark, there is no experience yet with user satisfaction., Read more about relevance, Accuracy and reliability, There will always be errors associated with sample-based and questionnaire-based statistics. The survey framework was reviewed and quality assured before distribution, but it is rare to avoid identifying sources of error afterward. The results of the statistics are compared with previous, relevant studies on wood consumption, etc., and deviations are to be expected due to normal sampling uncertainty, minor differences in data processing, and real changes in the prevalence and consumption patterns regarding heating in private homes and holiday homes., Read more about accuracy and reliability, Timeliness and punctuality, The survey is conducted every two years, and the publication time is two months from late May to late August. It is not possible to assess punctuality as the statistics are new under Statistics Denmark., Read more about timeliness and punctuality, Comparability, The statistics replace previous versions of the Wood Survey, which, at the initiative of the Danish Energy Agency, has generally been conducted every two years, most recently in 2021., Read more about comparability, Accessibility and clarity, The plan is for the statistics to be published every other year in the StatBank under the topic , Energy Consumption, with the title , Firewood and Other Biomass for Heating, and in News from Statistics Denmark on Energy Consumption. More detailed results can also be retrieved on the statistics’ , theme page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/use-of-firewood-and-other-types-of-biomass-for-heating-purposes-in-dwellings-and-holiday-cottages

Documentation of statistics

Documentation of statistics: Research Libraries (Discontinued)

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Research libraries 2017 , Previous versions, Research Libraries 2016, Research Libraries 2015, Research Libraries 2014, The purpose of the statistic is to disseminate the activity in the area of research libraries in Denmark. The statistic is produced by Statistics Denmark since 2009., Statistical presentation, The purpose of the statistic is to disseminate the activity in the area of research libraries in Denmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from the research libraries via electronic questionnaire. Data from each research libraries are checked in relation to their reporting for the previous years. Data collection takes place at the same level of detail as what the final statistics are published on., Read more about statistical processing, Relevance, The main users are politicians, students, community organizations and the libraries themselves. There have not been performed any survey on user satisfaction for this particular statistics., Read more about relevance, Accuracy and reliability, In 2014, the response rate was 71 per cent. Some other research libraries do not report to the research library statistics. There are neither imputed nor listed for the missing values. Therefore, the values are underestimated in relation to the actual level. Data is published for the individual research libraries., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 6 months after the reference year end without delay. , Read more about timeliness and punctuality, Comparability, Data is comparable from 2009 onwards. The statistics are based on the DS / ISO 2789 standard, which is the international standard for compile library statistics. The statistics are based on DS / ISO 2789 standard and is therefore comparable with other statistics for library activity., Read more about comparability, Accessibility and clarity, Publishing takes place in the following channels: Statistikken udgives i , Newsletter, . I Statistikbanken offentliggøres tallene under emnet , Forskningsbiblioteker, . Publication about culture in Danish, Kultur, . , Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Business Cycle Tracer (Discontinued)

Contact info, Short Term Statistics, Business Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Business Cycle Tracer 2021 , Previous versions, Business Cycle Tracer 2020, Business Cycle Tracer 2019, Business Cycle Tracer 2018, Business Cycle Tracer 2017, Business Cycle Tracer 2016, Business Cycle Tracer 2015, Business Cycle Tracer 2014, Business Cycle Tracer is a graphic tool to analyze the business tendency based on confidence indicators for Manufacturing industries, Construction industry, Services and Retail trade - please refer to documentation for those statistics., Statistical presentation, The Business Cycle Tracer is plotted in a scatter graph. Y-values depict indicator level. X-values depict changes in indicator level month over month. Along the curve is traced the development month by month., The collection of data for these statistics has not been affected by COVID-19. , Read more about statistical presentation, Statistical processing, Based on Business Tendency Survey data, a composite indicator is calculated by Principal Component Analysis for each sector., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media., Read more about relevance, Accuracy and reliability, Based on , Business Tendency Survey, . Furthermore refer to method description in Danish: , Konjunkturcyklus-metode, ., Read more about accuracy and reliability, Timeliness and punctuality, Update each month the second workday., Read more about timeliness and punctuality, Comparability, Containing time series from 1998 and onwards, The method follows the method established by DG ECFIN, EU. Furthermore see the method description: , Konjunkturcyklus-metode, (in Danish)., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Business Cycles, and in an interactive graph on the subject page., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-cycle-tracer--discontinued-

Documentation of statistics

Financial sector

Banks and mortgage credit, Provides an overview of banks and mortgage credit institutions’ borrowing and lending to Danish households and enterprises., Investment funds, Shows the assets and liabilities of investment funds., Consumer credit, Shows the most common forms of consumer credit provided by banks and finance companies., Insurance companies and pension funds, Shows the number of insurance companies and pension funds as well as their income statement and balance.

https://www.dst.dk/en/Statistik/emner/erhvervsliv/finansiel-sektor

Subject page

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

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

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: Economics and employment of the sporting activities

Contact info, Science, Technology and Culture, Business Statistics , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Economics and employment of the sporting activities 2024 , Previous versions, Economics and employment of the sporting activities 2023, Economics and employment of the sporting activities 2022, Economics and employment of the sporting activities 2021, Economics and employment of the sporting activities 2020, Economics and employment of the sporting activities 2019, Economics and employment of the sporting activities 2018, Economics and employment of the sporting activities 2017, These statistics highlight the economy and employment in the sports industry, thus providing a picture of the sport as a profession. These statistics are comparable from 2013 onwards., Statistical presentation, These statistics are an annual estimate of key economic and employment figures, by sports industries, including turnover, payroll and number of full-time employees., Read more about statistical presentation, Statistical processing, The statistics are based on registry data from the Employment statistics and General Business Statistics for the selected sports industries. Sports consumption is based on the new COICOP2018 nomenclature. Data is validated in source registers, while the statistical trends over time are compared with previous years' levels. No seasonal adjustment or separate imputations are made., Read more about statistical processing, Relevance, These statistics are available for all to be used for a description of the economy and employment in the sports-related industries., Read more about relevance, Accuracy and reliability, The statistic is based on data, that has been checked for errors and corrected in connection with the preparation of other statistical products. There is no definite quality measurement of the statistics, as well as no calculations on uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, Publications are made annually approximately twenty months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics are comparable throughout the published period. Changes in the statistics over time, including the transition to COICOP2018, have resulted in higher figures for sports consumption. The statistics can be compared with selected results from the the Employment statistics, The Labour Market Account and General Enterprise Statistics, as well as Cultural Business Structure and Labour Market., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Economics and employment of the sporting activities, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economics-and-employment-of-the-sporting-activities

Documentation of statistics

Documentation of statistics: Sports clubs and sporting facilities

Contact info, Science, Technology and Culture, Business Statistics , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Sports clubs and sporting facilities 2025 , Previous versions, Sports clubs and sporting facilities 2024, Sports clubs and sporting facilities 2023, Sports clubs and sporting facilities 2022, Sports clubs and sporting facilities 2021, Sports infrastructure and resources 2020, Sports infrastructure and resources 2019, Sports infrastructure and resources 2018, Sports infrastructure and resources 2017, The purpose of these statistics is to illustrate the physical and organizational structures of sports in Denmark, as well as memberships under the various sports federations. The statistics have been established since 2017 and are comparable throughout the period., Statistical presentation, These statistics is an annual estimate of the number of associations, number of members and sports facilities in Denmark. These statistic are allocated by organization, facility type and geographical by municipality. , Read more about statistical presentation, Statistical processing, Facilities are compiled per October 1st annually from the Danish Sports Facility Database. The database is a co-operation between the Danish Institute for Sports Studies and the Danish Foundation for Culture and Sports Facilities. The number of sports associations and members are reported annually by DIF, which collects data about sports associations and members from administrative sources., Data processing in Statistics Denmark includes coding of data, tabulation and control of detailed register extracts to the level of publication., Read more about statistical processing, Relevance, Users are Ministries, Agencies and various interest groups. The statistics are developed in cooperation with the Ministry of Culture and a project group comprising representatives of the national sports associations, researchers and other resource persons in this area. The statistics may serve to qualify public debate on sports and cultural policies., Read more about relevance, Accuracy and reliability, The statistics do not take into account missing reports to resp. the Central Association Register or the Facility Database. This could e.g. be an association with non-reporting of a group of members or a municipality's non-reporting of a new sports facility. However, the statistics are based on known authoritative sources and databases regarding the sports organizations' membership and facility numbers., Read more about accuracy and reliability, Timeliness and punctuality, Publications are made annually approximately four months after the end of the reference period. 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, No comparison with other countries are made. Selected results may be compared to other presentations of the original sources, e.g. those made by the Central Registry of Sports Associations and the Danish Sports Facility Database., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Sports clubs and sporting facilities, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sports-clubs-and-sporting-facilities

Documentation of statistics