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      Documentation of statistics: Adult education and continuing training

      Contact info, Population and Education, Social Statistics , Susanne Mainz Sørensen , +45 20 34 51 79 , SMS@dst.dk , Get documentation of statistics as pdf, Adult education and continuing training 2024 , Previous versions, Adult education and continuing training 2023, Adult education and continuing training 2022, Adult education and continuing training 2021, Courses and Adult Education 2020, Courses and Adult Education 2019, Courses and Adult Education 2018, Courses and Adult Education 2017, Courses and Adult Education 2016, Courses and Adult Education 2016, Courses and Adult Education 2013-2014, Courses and Adult Education 2012-2013, The purpose of the statistics is to provide a picture of the people's participation in courses and adult education i.e. formal courses which are financed, planned and controlled by a public provider., The data collection on course activities has stated at different times for the different course types, and the first ones are registered from 1970's. , Statistical presentation, The statistics gives information on number of persons participating in courses and adult education i.e. formal external courses which are financed, planned and controlled by a public provider. If an education consists of several modules as in the case of Higher Preparatory Examination (HF) or a diploma, each module is counted. The information is collected and kept in the Course Participation Register., If the course participant has completed a number of courses that add up to a whole education e.g. the Higher Preparatory Examination (HF), an academy exam or a diploma the information on the attained qualifications is collected and kept in the Quality Register., Read more about statistical presentation, Statistical processing, Data comes from eight different data collection. , The Ministry of Immigration and Integration collect and checks data for language courses for foreigners before data is send to Statistics Denmark. The Ministry of Education collect and checks data for the adult vocational programmes (in Danish AMU), general and preparatory education and Business Schools before is send to Statistics Denmark. The information from the vocational colleges, business academies, universities and artistic educational institutions is collected by Statistics Denmark After the data has been received, all data undergo an error check in Statistics Denmark., Read more about statistical processing, Relevance, The users of the statistics includes individuals, civil servants, private organizations, foreign actors and the respondents of the data., Applications: Public and private planning, Research, Education, Debate and Marketing etc., One to two times a year members of a Danish committee on education (in Danish, "Kontaktudvalget for Uddannelse") meets. In connection with this meeting user-representatives from selected ministries, Labour market organisations and NGOs in the Education sector have the opportunity to comment on the statistics., Read more about relevance, Accuracy and reliability, The school year 2024 lacks information on AMU, AVU, FVU, HF single subject, dyslexia education, GSK, GIF and open profession. They will be included in the next update of the table. Please note that data at institutions under Ministry of Culture are not included. Moreover, under reporting sometimes occurs the first years after a new activity has been reported. , The far most important source of inaccuracy is incorrect or insufficient registrations. The course provider have the opportunity of reporting supplementary data for previous periods, mainly the year before. Therefore, the latest year is considered as being provisional. The opportunity is used only in a few cases. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published within one year after the reference year. The date of publication may vary and is therefore announced separately each year., The statistics is published on time., Read more about timeliness and punctuality, Comparability, Consistency over time is good in some areas e.g. for Higher Preparatory Examination (in Danish, HF) and Business Administration (in Danish, HD). In other areas as is the case with adult vocational programmes (in Danish, AMU), many changes in course subject and course length make comparability difficult. The activity reflects the trends on the labour market and changes in subsidies. There are no comparable statistics from other countries., Statistics Denmark has since 2015 released data about the course Danish labour market language skills. Since July 1 2017 this course is no longer being offered and has resulted in a notable decrease in the numbers. , Read more about comparability, Accessibility and clarity, The main figures are published online in Statbank Denmark, http://www.statbank.dk. , Taylor-made statistics is available via Statistics Denmark's Costumers Centre. , Micro-data are accessible via Statistics Denmark's Researcher's Centre., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/adult-education-and-continuing-training

      Documentation of statistics

      Documentation of statistics: Payments by the Ministry of Culture

      Contact info, Science, Technology and Culture , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Payments by the Ministry of Culture 2023 , Previous versions, Payments by the Ministry of Culture 2022, Payments by the Ministry of Culture 2020, Payments by the Ministry of Culture 2019, Payments by the Ministry of Culture 2018, Payments by the Ministry of Culture 2017, Payments by the Ministry of Culture 2016, Payments by the Ministry of Culture 2015, Payments by the Ministry of Culture 2014, Payments by the Ministry of Culture 2013, The purpose of the statistics Payments by the Ministry of Culture is to provide a comprehensive overview of the magnitude, scope and distribution of payments by the Ministry of Culture for cultural purposes. Payments by the Ministry of Culture in combination with the statistics Public Funding for Cultural Purposes provide a detailed picture of state financing and support for cultural activities. The statistics cover the period from 2010 and onwards., Statistical presentation, The statistics are an annual statement of payments for promoting purposes within the area of the Ministry of Culture, e.g. for the operation of institutions, specific activities and projects, scholarships, etc. and shows the distribution on different cultural domains and geography. Recipients are described by age and gender (persons) or company form and size (companies). The payments to authors, translators, etc. linked to the Public Lending Rights' Fund and the distribution of disbursements to the special, cultural domains Children and Young People, Research and Education are tabulated., Read more about statistical presentation, Statistical processing, The Ministry of Culture sends annual data to Statistics Denmark on payments including amounts, purpose, geographical and other targeting, as well as information on recipients. Statistics Denmark debugs data and links them with background information about the recipients. This information is for personal recipients age, area of residence and gender. For companies background information is location, and size and type of business. Finally, data is tabulated and published in StatBank Denmark following a number of additional checks., Read more about statistical processing, Relevance, The statistics can be used for summaries of public funding for various cultural purposes over time. The statistics can be used as an indicator of state grants for cultural purposes, with the proviso that other ministries besides the Ministry of Culture also can pay out grants for cultural purposes. Moreover, the statistics describes geographical distribution of funding as well as characteristics of recipients in terms of geography, sex and age (persons), or size and business type (companies). The statistics is established and continuously developed in collaboration with the Ministry of Culture., Read more about relevance, Accuracy and reliability, Data is collected via the Ministry of Culture's grant administrative systems, other financial systems and the Government Accounts. There are no uncertainty calculations available, but the overall precision is assessed to be very high with regard to the current payments from the Ministry of Culture. Over time, adjustments may occur in the Ministry of Culture's allocation of cultural subjects to certain schemes and budget areas. Likewise, changes in remit mean that government grants can be moved between departments. The ongoing adjustments can thus affect comparability over time., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are normally published in mid-June approximately 5½ months after the end of the reference period. The statistics are usually published without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, When assessing time series from these statistics, the user should be aware of shifts in the Ministry of Culture's area of responsibility etc. as described under Comparability over Time. For example, the data breach from 2011 to 2012 is due to reshuffles after the formation of the government in 2011. The Ministry of Culture was handed over the area of ​​public education and the folk high schools from the Ministry of Children and Education, and castles and cultural properties were moved from the Ministry of Finance to the Ministry of Culture. Finally, the higher artistic educations were moved from the Ministry of Culture to the Ministry for Research, Innovation and Higher Education., As of the publication of 2019 figures, the designation of case regions has changed compared to before, as it is possible for certain types of payment to define the case region more precisely than before., Read more about comparability, Accessibility and clarity, Payments by the Ministry of Culture is presented on the subject page for , Education, economy and employment in the cultural field, . The results are published annually through a , News, Article from Statistics Denmark and a series of interactive , StatBank, Denmark tables showing i.a. the geographical distribution of payments as well as sums and characteristics of personal and company recipients., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/payments-by-the-ministry-of-culture

      Documentation of statistics

      Documentation of statistics: Social benefits for senior citizens

      Contact info, Personal Finances and Welfare, Social Statistics , Marie Borring Klitgaard , +45 21 55 83 71 , MGA@dst.dk , Get documentation of statistics as pdf, Social benefits for senior citizens 2025 , Previous versions, Social benefits for senior citizens 2024, Social benefits for senior citizens 2023, Social benefits for senior citizens 2022, Social benefits for senior citizens 2021, Social benefits for senior citizens 2020, Elderly - Indicators 2019, Elderly - Indicators 2018, Elderly - Indicators 2017, Elderly - Indicators 2016, Elderly - Indicators 2015, Elderly - Indicators 2014, Elderly - Indicators 2013, Documents associated with the documentation, Kommentarer til 2024 - korte udgaver (xlsx) (in Danish only), Kommentarer til 2025 - korte udgaver (xlsx) (in Danish only), The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Statistical presentation, The statistic for 2025 covers data from the first 6 months of 2025. The statistic is an annual survey including a number of national impact- and background indicators which document and describe the quality of the municipal effort at the elderly area. The indicators consist of referral and provided home care, home nursing, nursing homes, exercise services, rehabilitation and preventative home visits. Primarily, the indicators are targeted at the elderly area, however home care, exercise services, home nursing as well as nursing homes also include data for citizens under 67 years., Read more about statistical presentation, Statistical processing, Before publishing data from the municipalities' EOJ system (electronic care journal), tables and figures are developed, which all municipalities are asked to approve. After the approval, Statistics Denmark detects for data errors as missing numbers, abnormal values and etc., Read more about statistical processing, Relevance, The authorities and public institutions and the population use the indicators for analysis, research, debate, etc. The focus is to ensure more valid documentation at the elderly area. This is achieved by retrieving the information directly from the municipalities' care systems (EOJ), which is constantly updated as a part of the municipalities' case management., Read more about relevance, Accuracy and reliability, The municipalities receive control tables, which they are asked to approve. Only approved information is included in the statistics. In the absence of approvals, previous years' information is included in the national totals and averages. For the publication for the first 6 months 2025, between 97 and 98 municipalities are included, depending on the indicator. Lack of approval may be due to the municipality's registration practices, which determine which data is reported, and system or supplier changes, where the reported data may be flawed. There are varying registration practices between municipalities in several areas, which can lead to distortions., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published as pre-advertised. The statistics are released approximately 6 months after the reference period has ended. , Read more about timeliness and punctuality, Comparability, The statistics are generally comparable over time, but there are minor data breaks. The municipalities' change of EOJ provider every five years can affect certain indicators. As of October 1, 2023, new reporting requirements for food service and supplier types resulted in a data break in the statistics on designated home care. Therefore, the figures for 2023 should be compared with previous years with reservations. For hospital usage, there has been no adjustment for the severity of diseases, which affects the comparability between municipalities., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . The figures are published in the StatBank under the subject , Social benefits for senior citizens, . See more on the subject page for the , Social benefits for senior citizens, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-benefits-for-senior-citizens

      Documentation of statistics

      Documentation of statistics: Standardised index of average earnings

      Contact info, Labour Market, Social Statistics , Eva Borg , +45 24 78 53 57 , EVB@dst.dk , Get documentation of statistics as pdf, Standardised index of average earnings 2025 , Previous versions, Standardised index of average earnings 2024, Standardised index of average earnings 2023, Standardized Index of Average Earnings 2021, Standardized Index of Average Earnings 2020, Standardized Index of Average Earnings 2019, Standardized Index of Average Earnings 2018, Documents associated with the documentation, Standardberegnet lønindeks. Metode efter serviceeftersyn 2022-2023 (pdf) (in Danish only), The purpose of the standardised index of average earnings is to estimate the developments in pay levels for employees in Denmark, adjusted to the extent possible for changes in the labour market’s occupational composition, e.g. shifts of employees between industries and/or occupation. The statistics are used for e.g. monitoring of business cycles, regulation of contracts, analyses of developments in pay levels as well as input in the calculation of the National Accounts., The statistics have been prepared since 2018 with data back to the first quarter of 2016. A revised index and time series are published in May 2023 with data back from 2016., In parallel, Statistics Denmark is calculating the implicit index of average earnings. Unlike the standardised index, the implicit index of average earnings does not take changes in the occupational composition into account., Statistical presentation, The standardised index of average earnings is a quarterly estimate of the developments in pay levels for employees in Denmark, adjusted to the extent possible for changes in the occupational composition, e.g. shifts of employees between industries and/or occupation. The statistics show the development in the average hourly earnings for employees by sector, industry (DB07) and main occupation (DISCO-08). Each quarter, an index value and an annual increase are published., Read more about statistical presentation, Statistical processing, Data for these statistics are collected quarterly. For the public sector all payroll information are collected while data are collected via a sample from the private sector. The collected data is validated at an aggregate level for key enterprises (only in the private sector) and at an individual level through a combination of validation rules for the hourly earnings for the individual employment relationship. The hourly earnings are assessed based on sector, industry, main occupation and type of employment. Once data has been validated, base index is calculated for each homogeneous group, which afterwards is aggregated to sub- and total indices at sector, industry or main occupation level., Read more about statistical processing, Relevance, These statistics are relevant for private enterprises and organisations, as well as ministries and other public institutions for analysis, contractual regulation etc. The statistical data are also used in other areas within Statistics Denmark, e.g the calculation of the Danish National Accounts., Read more about relevance, Accuracy and reliability, The accuracy of these statistics are higher for employees in the public sector than in the private sector. The reason for this is that the statistics for employees in the public sector (more or less) consists of all payroll information, while the statistics for employees in the public sector is based on a sample of enterprises. The accuracy of the statistics for the private sector is therefore affected by sampling uncertainty, completeness of the reported information and non-response. The impact on the indices are unknown., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published two months after the end of the reference period. The statistics are released typically without delay according to scheduled dates of publication. , In February 2022, the statistics were paused and a comprehensive service review was initiated. As a result, the method for calculating standardized index of average earnings was revised. This publication therefore contains revised index values and annual increases for the entire period from the first quarter of 2016 until the first quarter of 2023. This means that the series contains revised values from the first quarter of 2016 until the third quarter of 2021 as well as previously unpublished values from the fourth quarter of 2021 until the first quarter of 2023., Read more about timeliness and punctuality, Comparability, The standardised index of average earnings was first published in December 2018 with a time series starting in the first quarter of 2016. The standardised index of average earnings utilize the same data as the implicit index of average earnings, which however has a different purpose and is therefore calculated using a different method. There exist a few sets of statistics abroad that are partly comparable with the standardised index of average earnings. , Read more about comparability, Accessibility and clarity, These statistics are published quarterly 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 , Indices of average earnings, . For further information, visit the subject page for , Income and earnings, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/standardised-index-of-average-earnings

      Documentation of statistics

      Documentation of statistics: Income Statistics

      Contact info, Labour Market, Social Statistics , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, Income Statistics 2024 , Previous versions, Income Statistics 2023, Income Statistics 2022, Income Statistics 2021, Income Statistics 2020, Income Statistics 2019, Income Statistics 2018, Income Statistics 2017, Income Statistics 2016, Income Statistics 2015, Income Statistics 2014, Income Statistics 2013, Documents associated with the documentation, Imputering af huslejenedsættelser i 2024 (pdf) (in Danish only), The purpose of the income statistics - is to provide statistics on the population's incomes and tax payments as well as the distribution of incomes. The statistics are useful in the field of social sciences and form the basis for effective policymaking in areas that affect the economic situation of the households. Statistics Denmark has published statistics on income since 1905 and has coherent time series going back to the 1980’s., Statistical presentation, The income statistics are based on a full-population register. It contains information on annual incomes at both the personal- and family level as well as data on the distribution of income. The income is available both pre- and post taxes and can be split into subcategories such as primary income, transfers, property income and taxes. In the income statistics the population is divided into groups by age, socio-economic status, gender, municipalities (NUTS-3), type of family and into income intervals., Read more about statistical presentation, Statistical processing, Data is collected and published yearly. The primary source is administrative data from the Danish tax authorities. Using secondary sources from the municipalities and unemployment funds the incomes are subdivided into more detailed types of income. Finally other registers in Statistics Denmark, such as the population register, provide background information., In case of inconsistencies between data sources on the total income amounts, the data are fitted to match the level of the tax authorities, which are assumed to be correct., Read more about statistical processing, Relevance, The primary users of the income statistics are ministries, municipalities, research institutes and the media. An annual meeting with some of the users of the main welfare statistics is held in Statistics Denmark. On a daily basis users call with questions related to the statistics or comment on our publications on social media. Through these interactions with the users we continually assess the need for improvements of the statistics., Read more about relevance, Accuracy and reliability, The quality is in general considered to be very good for the income types included in the statistics as data have been validated by the tax authorities. Undeclared incomes, winnings in lotteries etc. may result in a mismatch between actual and registered income., As the income statistics are based on full-population registers, there are no sampling errors., In 2024 data is extracted in August. Thus revisions after this date will not be taken into account in the income statistics., Read more about accuracy and reliability, Timeliness and punctuality, Most tables on income statistics are published in September, nine months after the end of the income reference year along with the annual newsletter. Socio-economic status, imputed rent, disposable income and income distribution indicators are published in November. , The statistics have usually been published as planned., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time, but special circumstances affect individual years. COVID-19 and aid packages are important in 2020-2021. In 2022, one-off payments due to inflation are included, and in 2024, 1 month's free rent for certain rental housing units is included as housing benefit. Holiday funds give differences compared to the national accounts 2018-2021. The statistics were revised in 2013 with retroactive effect to 1987. Internationally, Eurostat and OECD are the recommended sources, but income concepts vary., Read more about comparability, Accessibility and clarity, These statistics are 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 the subject , Income and earnings, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/income-statistics

      Documentation of statistics

      Documentation of statistics: Harmonized Index of Consumer Prices (HICP)

      Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Harmonized Index of Consumer Prices (HICP) 2025 , Previous versions, Harmonized Index of Consumer Prices (HICP) 2024, Harmonized Index of Consumer Prices (HICP) 2023, Harmonized Index of Consumer Prices (HICP) 2022, Harmonized Index of Consumer Prices (HICP) 2021, Harmonized Index of Consumer Prices (HICP) 2020, Harmonized Index of Consumer Prices (HICP) 2019, Harmonized Index of Consumer Prices (HICP) 2018, Harmonized Index of Consumer Prices (HICP) 2017, Harmonized Index of Consumer Prices (HICP) 2016, Harmonized Index of Consumer Prices (HICP) 2015, Harmonized Index of Consumer Prices (HICP) 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), ECOICOP (pdf), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Weightings 2025 (xlsx), The harmonized index of consumer prices (HICP) is compiled by all EU Member States and Norway, Iceland and Switzerland. The purpose of the harmonized consumer price indices is to be able to estimate the development in the countries' consumer prices on a comparable basis. HICP is used both by the Commission and by the European Central Bank in connection with the valuation of the price development in the individual countries in connection with the implementation and monitoring of the 3rd phase of the EMU. All the EU Member States and Norway and Iceland have compiled HICP since January 1997., Statistical presentation, HICP shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services., The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The HICP is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the HICP, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are mainly calculated as geometric indices. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total HICP., Read more about statistical processing, Relevance, The HICP is generally viewed as a reliable statistic based on the views of users., Important users are among others The European Central Bank, The European Commission, The Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank as well as private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the HICP as the sample is not randomly drawn, but the quality of the HICP is accessed to be high. In connection with COVID-19, uncertainty is greater than usual as it has been difficult to collect prices and many industries have been closed down., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample., Read more about accuracy and reliability, Timeliness and punctuality, The HICP 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 Danish HICP can be compared directly with other countries' HICPs. Using the HICPs it is possible to compare the inflation rates between different countries directly., The Danish HICP is also related to the national consumer price index., From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. , From January till December 2000, the only difference between the national consumer price index and the HICP is that both owner-occupied dwellings and private hospitals are only recorded in the consumer price index and not in the HICP. , Before January 2000, there are differences in calculation and methodology between the two indices as well as several differences as regards their coverage of goods and services., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Harmonized index of consumer prices (HICP), . The HICP of all Member States is also published by Eurostat in , Statistics in Focus/Economy and Finance, and on , Eurostat, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harmonized-index-of-consumer-prices--hicp-

      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: Nights spent at hotels, holiday resorts and youth hostels

      Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Nights spent at hotels, holiday resorts and youth hostels 2025 , Previous versions, Nights spent at hotels, holiday resorts and youth hostels 2024, Nights spent at hotels, holiday resorts and youth hostels 2023, Nights spent at hotels, holiday resorts and youth hostels 2022, Nights spent at hotels, holiday resorts and youth hostels 2021, Nights spent at hotels, holiday resorts and youth hostels 2020, Nights spent at hotels, holiday resorts and youth hostels 2019, Nights spent at hotels, holiday resorts and youth hostels 2018, Nights spent at hotels, holiday resorts and youth hostels 2017, The purpose of the statistics "Nights spent at hotels, holiday centers and hostels" is to describe the occupancy and capacity of Danish hotels, holiday centers and hostels. The survey is used by i.e. EU, business and tourism organizations and municipalities in order to analyze the development in tourism. The survey has been compiled since 1969, but is only comparable from 1992 and onwards. , Statistical presentation, The accommodation survey "Nights spent at hotels, holiday centers and hostels" is a monthly summary on occupancy and capacity in Danish hotels, holiday centers and hostels with a minimum capacity of 40 bed places. The accommodation survey is broken down by capacity and geography of the establishment as well as the purpose and country of residence of the guest. Furthermore there is an annual census on occupancy and capacity for hotels, holiday centers and hostels with 10-39 bed places., Read more about statistical presentation, Statistical processing, Data for the statistics are collected monthly from Danish hotels, holiday resorts, hostels etc. with a minimum of 40 bed places and yearly from Danish hotels, holiday resorts, hostels etc. with 10-39 bed places using an online questionnaire or by using a system-to-system solution where the accommodations booking system automatically sends data to Statistics Denmark. Collected data are validated on micro-level during the data collection and again on macro-level when aggregated. The validated data are then imputed with missing values and afterwards aggregated into geographical and nationality totals. , Read more about statistical processing, Relevance, The accommodation statistics are relevant for accommodation businesses, Eurostat, ministries and business and tourism organizations for forecasts, analysis and planning. The accommodation statistics are under constant review and the user needs are rapidly changing with the emergence of peer-to-peer platforms such as AirBnB. , Read more about relevance, Accuracy and reliability, The monthly statistic only cover hotels, holiday resorts and hostels etc. with at least 40 bed places. The annual statistics also cover hotels, holiday resorts and hostels etc. with 10-39 bed places. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Missing answers are imputed which may lead to revisions of published data. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for hotels, holiday centers and hostels etc. with a minimum of 40 bed places are published monthly approx. 40 days after the end of the reference month. The statistics is published without delay according to the planned publication tables. The final statistics are published annually together with the statistics for Hotels, holiday centers and hostels etc. with 10-39 bed places. The Annual statistics are published approx. 100 days after the end of the reference year., Read more about timeliness and punctuality, Comparability, The accommodation statistics is comparable with the other EU-statistics on tourism. The breakdown into nationalities has expanded from 13 to 51 since 1996 and this can weaken the comparability when using time series. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . Data are published in statbank at , Hotels, holiday centres and hostels, og , All types of overnight accommodation, and in an annual publication with all types of overnight accommodation. For more information about the statistics look at the , subject page, ., Statistics on a municipality level or for a province can be found at VisitDenmark. If you wish to combine statistics of tourism with other types of variables or combine variables in a different way please contact DST Consulting., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-at-hotels--holiday-resorts-and-youth-hostels

      Documentation of statistics

      Documentation of statistics: Holiday houses

      Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Holiday houses 2025 , Previous versions, Holiday dwellings 2024, Holiday houses 2022, Holiday dwellings 2020, Holiday dwellings 2019, Holiday dwellings 2018, Holiday dwellings 2017, The purpose of the statistic Holiday houses is to visualize the capacity and rental activity for Danish holiday houses through from rental agencies. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. The statistics have been compiled since 1968 in various forms. Figures for the first years are available in printed editions of the Statistical Yearbook. In its current form, the statistics are comparable since 1992. Figures on nights spend at holiday houses or holiday apartments complements other tourism statistics on nights spend e.g. hotels, camping., Statistical presentation, The statistics about holiday houses are a monthly and annual calculation of Danish holiday houses that are rented out through rental agencies. The statistics are divided into nationalities of the guests, as well as geographically by regions and parts of the country. In addition, there is an annual assessment of the capacity of vacation houses for rental. Numbers of Municipal distribution is prepared in collaboration with VisitDenmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected monthly for reporting that covers approx. 95 pct. of the population, to which is added an enumeration of the annual reports from the previous year, so that the entire population of holiday house rental with a minimum of 25 houses available is covered. The monthly statistics shows temporary data for the holiday house rental. When the reference year is over, the calculated imputed values are replaced with the final data for the year. The annual statistics with the final data include reporting from every holiday house rental with a minimum of 25 houses available for renting., Data for the annual statistics is collected via an upload solution for the rental agencies that only report annually or via an electronic questionnaire for the rental agencies that report monthly. The collected data undergoes micro-level debugging during the actual collection and at the macro-level when the data is aggregated. , Read more about statistical processing, Relevance, The statistics are relevant for e.g. the companies, industry associations, municipalities and regions as well as business and tourism organizations as a basis for forecasts, analyses and planning purposes., Read more about relevance, Accuracy and reliability, The variables of the statistics associates more or less uncertainty. Number of contracts, number of houses available and rented house-weeks are regarded as the most certain variables. The variable Numbers of nights is regarded as more uncertain, because in some cases they are based on reported estimates. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for holiday house rental is published approx. 40 days after the end of the reference month. The statistics are published without delays in relation to planned publication times. The annual statement for holiday house rental is published together with the final annual figures approx. 100 days after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics date back to 1986 and have undergone changes over time. From 1986-1990, the statistics only covered holiday house rental in the high season. From 1990, the statistics covered an operating year, i.e. early October to and including the end of September. From 1998, the annual statistics are based on the calendar year. In 2011, the overnight figures for 2010 were adjusted upwards by 647,000 as a result of revised information from some rental agencies. As a consequence, the number of overnight stays in 2010 and 2011 and onwards is not immediately comparable with the number of overnight stays in previous years. From 2012, the number of available houses for rent was removed from the monthly statistics. Instead, the figure is calculated once a year with the number of available houses for rent per year. May 1. in the reference year. , Read more about comparability, Accessibility and clarity, The statistics are published monthly and annually in , Nyt from Statistics Denmark, . In the Statistics Bank, the figures are published under the subject , Holiday houses, and , Total types of accommodation, . See more on the statistics , topic page, . Municipality-distributed statistics on holiday rental are financed by VisitDenmark and are freely available on their , website, ., If you want to combine statistics on holiday home rentals with other variables or put them together in another way, you can contact DST Consulting to clarify options and request a quote. , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/holiday-houses

      Documentation of statistics

      Documentation of statistics: Nights spent on camp sites

      Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Nights spent on camp sites 2025 , Previous versions, Nights spent on camp sites 2024, Nights spent on camp sites 2023, Nights spent on camp sites 2022, Nights spent on camp sites 2021, Nights spent on camp sites 2020, Nights spent on camp sites 2019, Nights spent on camp sites 2018, Nights spent on camp sites 2017, These statistics describe the capacity and occupancy at Danish campsites. The statistics are used by i.e. EU, tourism organizations and municipalities in order to analyze the development in camping tourism. The survey has been compiled since 1971, but in its current form comparable from 1992 and onwards. , Statistical presentation, These statistics are a monthly summary of occupancy and capacity in Danish campsites with a minimum of 75 camping units. The statistics are broken down by nationality of the guests, permanent leased pitches and geography by NUTS 2 level. Furthermore there is a annual summary of occupancy and capacity in Danish campsites with 10-74 camping units. , Read more about statistical presentation, Statistical processing, Data for the statistics are collected monthly from Danish campsites with a minimum of 75 camping units and yearly from Danish campsites with 10-74 camping units using an online questionnaire on Virk.dk, or by using a system-to-system solution where the campsites booking system automatically sends data to Statistics Denmark. Collected data are validated on micro-level during the data collection and again on macro-level when aggregated. The validated data are then imputed with missing values and afterwards aggregated into geographical and nationality totals. , Read more about statistical processing, Relevance, The statistics are for example relevant for accommodation businesses, Eurostat, ministries and business and tourism organizations for forecasts, analysis and planning. , Read more about relevance, Accuracy and reliability, The monthly statistic only covers campsites with at least 75 camping units. The annual statistics also cover campsites with 10-74 camping units. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Another possible source of error may be the fact that the reported data is in many cases based on estimations by the respondents. Missing answers are imputed which may lead to revisions of published data. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for campsites with a minimum of 75 camping units are published approx. 40 days after the end of the reference period. Publications are released on time, as stated in the release calendar. The annual statistics for the final data and for campsites with 10-74 camping units are published approx. 100 days after the end of the reference year., Read more about timeliness and punctuality, Comparability, Statistics Denmark includes nights from permanent leased pitches, which can cause an overestimation compared to other European camping statistics which do not include data from nights spent on permanent leased pitches. The statistical organisation of EU "Eurostat" does not include nights spent on permanent leased pitches when they publish data from countries in EU. From 2013, the number of nights on permanent leased pitches is based on factors of average lead times on camp sites. This change may result in a lack of comparability, but it is not expected to be significant. The number of nationalities has expanded from 13 to 51 nationality groups. This can lead to a lack of consistency when comparing data over time. , Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . Data are published in statbank at , Camping sites, and , All types of overnight accommodation, and in an annual publication with all types of overnight accommodation. For more information about the statistics look at subject page. (https://www.dst.dk/da/Statistik/emner/erhvervslivets-sektorer/turisme/campingpladser)., Statistics on a municipality level or for a province can be found at , VisitDenmark, . If you wish to combine statistics of tourism with other types of variables or combine variables in a different way please contact , DST Consulting, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-on-camp-sites

      Documentation of statistics
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