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      Documentation of statistics: Enterprise Groups in Denmark

      Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, Enterprise Groups in Denmark 2023 , Previous versions, Enterprise Groups in Denmark 2022, Enterprise Groups in Denmark 2021, Enterprise Groups in Denmark 2020, Enterprise Groups in Denmark 2019, Enterprise Groups in Denmark 2018, Enterprise Groups in Denmark 2017, Enterprise Groups in Denmark 2016, Enterprise Groups in Denmark 2015, Enterprise Groups in Denmark 2014, Enterprise Groups in Denmark 2012, The purpose of the statistic Enterprise groups in Denmark is to describe enterprise group relations amongst Danish companies. Thus the statistic contributes to the description of the business structure in Denmark. The statistic was complied for the first time for the reference year 2009. , Statistical presentation, The statistic is a yearly compilation, which emphasizes the extent of both the number of enterprise groups and the number of full time equivalent employees herein. , The statistical unit is therefore the "Enterprise Group". An enterprise group, in these statistics, is regarded to be two or more companies located in Denmark and at the same time have a mutual ownership. A mutual ownership is regarded to be present if one Danish company owns and/or controls more than 50 per cent of another Danish company., Read more about statistical presentation, Statistical processing, The statistic is based on the Business Statistics Enterprise Group Register. Enterprise group relations are confirmed via the annual reports of the enterprises and by looking up in the Central Business Register., Read more about statistical processing, Relevance, The primary users of the statistic are various industrial organizations, politicians, researchers and the news media. As part of the establishment of the Business Statistics Data Warehouse, the statistical content and the framework for the enterprise groups statistics have been presented to the project's external research follow-up group., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations, which are deemed to be reliable to a high extent. , Read more about accuracy and reliability, Timeliness and punctuality, Enterprise groups in Denmark are disseminated 18-24 months after the end of the reference year. The statistic is normally published without delay to the announced time. , Read more about timeliness and punctuality, Comparability, This statistic is only carried out in Denmark. Since 2022, the enterprises in Enterprise groups in Denmark has been based on the new activity threshold, which includes economically active enterprises. For the same year, the statistic has been expanded to include sector A: Agriculture, forestry and fishing. It is therefore not directly comparable to the previous time series covering 2009-2021., Read more about comparability, Accessibility and clarity, The results are available in Statbank Denmark. See also , Enterprise groups, ., It is possible to buy tailor-made tables, and researchers can obtain access to the micro-data upon request. , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/enterprise-groups-in-denmark

      Documentation of statistics

      Documentation of statistics: Construction Activity

      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, Construction Activity 2024 , Previous versions, Construction 2023, Construction 2022, Construction 2021, Construction 2020, Construction 2019, Construction 2018, Construction 2017, Construction 2016, Construction 2015, Construction 2014, The purpose of the Construction Activity statistics is to describe the development of the activity in construction in Denmark. The statistics are among other things used to estimate the business trends in the construction sector. The principal figures, i.e. without geographic distributions, is comparable back to 1998 and onwards, but historical surveys for the construction activity is available back to 1916., Statistical presentation, The quarterly construction statistics is a measurement of all construction activity demanding a building permit, stated in aggregated floor area in square meters and number of dwellings. The statistics are grouped by phase of construction, type of builder, type of building project and geographically, municipalities, regions and province. The statistics are published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in the Statbank., The COVID-19 crisis should not have an impact on this statistic. We haves been in contact with several municipalities and the feedback is that their work registering construction in The Central Register of Buildings and Dwellings on which this statistic is based is not affected and continues as before., Read more about statistical presentation, Statistical processing, The construction activity statistics are compiled on the basis of data extracted from the Central Register of Buildings and Dwellings and is updated quarterly. Data valuations (correct errors) and a number of controls (valuations of quality) are carried out. Furthermore, different diverted variables and delimitations are formed. There are both non-corrected figures ("raw" figures) and corrected figures (because of delayed reporting). The quarterly publications also contain a seasonally adjustment., Read more about statistical processing, Relevance, The statistics are used by a wide range of users, from both the private and the public sector, news media and Eurostat. From the private sector users are mainly large companies and business organizations, while mainly ministries and municipalities represent the public sector. , Furthermore, The statistics are used as input in the national accounts statistics, published quarterly by Statistics Denmark to calculate the gross value added for the construction sector and as input in other parts of Statistics Denmark, e.g. to calculate rent., Read more about relevance, Accuracy and reliability, In general, the latest figures for the construction activity must be regarded with reservations, because the data source is uncertain. The main source of inaccuracy is the delays in the municipality's data registrations in the Central Register of Buildings and Dwellings. The estimates made by Statistics Denmark attempt to address this problem. The model estimate the delays for the latest 18 months and revises the figures in respect hereof. The estimate is encumbered with uncertainty, because there is not a steady pattern in the size and causes of the delays. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics of construction are published quarterly (monthly as well as quarterly statistics). The statistics are published at the beginning of May, August, November and February. The punctuality is high and there are very few delays in relation to the scheduled dates., Read more about timeliness and punctuality, Comparability, The greatest obstacle for the comparability over time is the change in 1981 from the survey-based statistic to the register-based statistic (BBR). It gives both a break in time series and a market extension of the descriptive variables, see the section on comparability over time. , Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release. In the StatBank, these statistics can be found under , Producer and Import Price Index for Commodities, . For more information visit the subject page on , Construction, . It is also possible to purchase customized solutions through , DST Consulting, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/construction-activity

      Documentation of statistics

      Documentation of statistics: Producer price index for construction of dwellings

      Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Producer price index for construction of dwellings 2025 , Previous versions, Producer price index for construction of dwellings 2024, Producer price index for construction of dwellings 2023, Producer price index for construction of dwellings 2021, Producer price index for construction of dwellings 2019, Producer price index for construction of dwellings 2018, Producer price index for construction of dwellings demonstrates trends in prices at the first stage of commercial transactions for the construction of free standing one-family houses, i.e. the producer price incl. direct construction costs and profits, but excl. VAT, cost of land and other costs not directly linked to the construction. The statistic is typically used in analyses of price developments in the construction sector. It has been compiled since 2019 with indices dating back to 2015., Statistical presentation, The Producer Price Index for Construction of Dwellings is a quarterly measurement of price developments of commercial transactions related to the construction of new dwellings, i.e. the price a household or a developer pays the construction company for the construction of a dwelling. The statistic only covers construction of free standing one-family houses, and is therefore not representative of e.g. multi-family houses, terraced houses, general housing, vacation homes or commercial/industrial buildings., Read more about statistical presentation, Statistical processing, Every quarter approximately 500-1200 prices are collected from a sample of relevant type house construction companies in Denmark. Prices and addresses are merged with relevant information from the Danish Buildings and Dwellings Register (BBR) on e.g. floor area and various amenities. This information is used to calculate the price development of construction of new dwellings., Read more about statistical processing, Relevance, The Producer Price Index for Construction of Dwellings is a business cycle indicator, which is used in analyses of economic developments in Denmark. It is used in the Danish National Accounts, and is part of the framework of EU short term business statistics. Surveys of user satisfaction are not performed, but the statistics is part of Danish Statistics' expert committee for statistics on housing and civil engineering., Read more about relevance, Accuracy and reliability, The collected price observations are examined for errors both manually and by computer. The extend of different error types is therefore considered to be negligible. As the collected data originates solely from typehouse companies, the statistic is considered to be more accurate for typical housing constructions and less so for unique constructions. Also, the used hedonic statistical model does not consider the quality of applied building materials or the quality of the work carried out., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published quarterly, approx. 3-4 month after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistic has a continuous time series from 2015 until present day. The statistic follows international standards and is therefore comparable with similar statistics from other countries., Read more about comparability, Accessibility and clarity, The statistic is published quarterly in the Statbank as , Producer Price Index for Construction of Dwellings (PRIS90), and can be found at the subject page , Indices for the construction sector, . Once a year, in conjunction with the publication of 4th quarter indices (in April), the statistic is published in , News from Statistics Denmark, , which is available only in Danish under the title "Producentprisindeks for byggeri". The statistics is reported to the Danish National Archives on a yearly basis., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-price-index-for-construction-of-dwellings

      Documentation of statistics

      Documentation of statistics: Producer price index for renovation and maintenance

      Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Producer price index for renovation and maintenance 2025 , Previous versions, Producer price index for renovation and maintenance 2024, Producer price index for renovation and maintenance 2023, Producer price index for renovation and maintenance 2022, Producer price index for renovation and maintenance 2020, Producer price index for renovation and maintenance 2019, Producer price index for renovation and maintenance 2018, Producer price index for renovation and maintenance 2017, Producer price index for renovation and maintenance 2016, The purpose of the Producer price index for renovation and maintenance is to track the development of producer prices of renovation and maintenance tasks performed by Danish construction and craftsman companies. This covers the prices of services incl. the producer's direct costs and their profits, but excl. VAT. The statistics has been produced since 2017 with data for 2014 and onwards. It is used primarily to evaluate price developments in the construction industry, and to regulate prices and contracts., Statistical presentation, The producer price index for renovation and maintenance shows the yearly trends in the prices related to housing in Denmark. The prices are related to first commercial transactions. The first commercial transaction refers to the transaction between the requester and the producer, excl. VAT. The index reflects price changes for the production of refurbishment and maintenance services, i.e. the price the household pays a company to perform a standard refurbishment and maintenance task, such as a carpenter changing a window frame or a plumber installing a toilet., Read more about statistical presentation, Statistical processing, For the Producer price index for renovation and maintenance approximately 3,000 prices are collected from selected companies in Denmark. Prices are collected digitally. The index is calculated in a hierarchical system, where the first calculation is made on the most detailed level (basic indices). The detailed indices are subsequently weighted together to form aggregated sub indices, which are used to calculate the main index., Read more about statistical processing, Relevance, Producer price index for renovation and maintenance is used primarily to evaluate price developments in the construction industry, and to regulate prices and contracts. It is also used as a deflator in the Danish National Accounts for constant price calculations. User satisfaction levels have not been determined., Read more about relevance, Accuracy and reliability, The statistics is based on 3,000 prices from six craftsman trades. Prices are reported by businesses, which are selected according to turnover to achieve the highest possible coverage. As there are large differences between the trades, they are treated separately with separate samples. It is estimated that each trade has a coverage of at least 30 pct., and that the price development in each sample represents the development in the population at large., As the samples are not randomly selected the sampling error cannot be measured. However, overall, the index is assessed to be of high quality., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published yearly, approximately three months after the end of the reference period. Publications are released on time according to announced release times., Read more about timeliness and punctuality, Comparability, The statistics follows international standards and is therefore comparable with similar statistics from other European countries. A time series from 2014 until today is available., Read more about comparability, Accessibility and clarity, Producer price index for renovation and maintenance is published in the StatBank under the subject , Producer price index, and on the subject page , Indices for the construction sector, . In the StatBank the statistic is listed as , PRIS91, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-price-index-for-renovation-and-maintenance

      Documentation of statistics

      Documentation of statistics: Danish Foreign Affiliates

      Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Danish Foreign Affiliates 2024 , Previous versions, Danish Foreign Affiliates 2023, Danish Foreign Affiliates 2022, Danish Foreign Affiliates 2021, Danish Foreign Affiliates 2020, Danish Foreign Affiliates 2019, Danish Foreign Affiliates 2018, Danish Foreign Affiliates 2017, Danish Foreign Affiliates 2016, Danish Foreign Affiliates 2015, Danish Foreign Affiliates 2013, Danish Foreign Affiliates 2012, The purpose of the statistics Danish Foreign Affiliates is to shed light on the Danish companies activities abroad through its controlled affiliates. Hence the statistics contributes considerably to the description of globalization, which is increasingly important to the development of the Danish economy and society. The statistics are comparable from 2007 onwards., Statistical presentation, This statistic is a yearly statistic, covering foreign affiliates (outside of Denmark) owned or controlled by parent companies in Denmark. The statistic measures the number of foreign affiliates as well as the number of employees, with breakdowns by activity and country of location., Read more about statistical presentation, Statistical processing, Data is collected annually via questionnaire in a census survey of all companies in Denmark that own or control affiliates abroad. Data is validated, both during and after data collection, to ensure a high data quality of data for the statistic., Read more about statistical processing, Relevance, The primary users of the statistics are ministries and other public institutions, and international organizations such as OECD and the European Commission. In addition the users cover news media, various industrial organizations and others with interest in globalization and the involvement abroad by Danish companies., Surveys on the users level of satisfaction have not been carried out, but users of the statistics express that they are satisfied with the statistics and its value., Read more about relevance, Accuracy and reliability, The survey result is based on submission of data from all relevant Danish parent companies with foreign affiliates. Any sample techniques and/or active use of thresholds have not been implemented. Thus the number of parent companies in the survey is approx. 5.000 and the number of foreign affiliates is approx. 15.000., It is estimated that missing values/data submissions in the survey have a insignificant impact on the statistical value., Read more about accuracy and reliability, Timeliness and punctuality, Danish foreign affiliates statistics is published approx. 14 months after the end of the calendar-year. The statistical information is collected in between June and November. Danish foreign affiliates is made public without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, This survey is also carried out in other European countries. Due to different approaches one cannot directly compare the results published in Denmark with the figures in Eurostat's database. The results published in Denmark cover all enterprises in Denmark that own/control foreign affiliates, regardless of ultimate controlling country. The figures in Eurostat solely cover enterprises that have the compiling country as ultimate controlling country., 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 , Danish Foreign Affiliates, . For further information, go to the , International enterprises, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/danish-foreign-affiliates

      Documentation of statistics

      Documentation of statistics: Hospitalization

      Contact info, Personal Finances and Welfare, Social Statistics , Line Neerup Handlos , +45 26 64 03 00 , lha@dst.dk , Get documentation of statistics as pdf, Hospitalization 2024 , Previous versions, Hospitalization 2023, Hospitalization 2022, Hospitalization 2021, Hospitalization 2019, Hospitalization 2018, Hospitalisation 2017, Hospitalization 2016, Hospitalization 2015, Hospitalization 2014, Hospitalization 2013, The purpose of the Hospital Utilisation Statistics is to shed light on the connection between hospitals stays and social and demographic conditions. The statistics have been compiled since 1990, but are comparable in their current form only from 2017 onwards., Statistical presentation, The statistics are an annual inventory of stays at public and private somatic and psychiatric hospital wards within one calendar year. The statistics show how hospital stays vary with demographic and social factors, such as residence, sex, age, educational level, labour market affiliation and relatives. The statistics are published in News from Statistics Denmark and in the StatBank., Read more about statistical presentation, Statistical processing, The statistics are based on data retrieved from the National Patient Registry, which is shared with Statistics Denmark by the Danish Health Data Authority. Background data from Statistics Denmark are linked to the registry, and summaries and counts are produced — for example, the number of hospital stays and patients in public and private somatic and psychiatric hospital departments during the calendar year., Read more about statistical processing, Relevance, Public and private stakeholders, as well as the general population, can use the statistics to extract data on the population’s hospital utilisation for various analyses, research, public debate, etc. The statistics make it possible to produce figures for specific diagnosis groups and to link information on hospital utilisation with sociodemographic factors such as place of residence, education, labour market attachment, and origin. This is made possible by linking data from the National Patient Register with population register data from Statistics Denmark., Read more about relevance, Accuracy and reliability, The National Patient Register is validated by the Danish Health Data Agency and the accuracy of the register data must be considered to be high because the registration has a long tradition and a high priority for administrative purposes. Accordingly, the overall accuracy of the Hospital Utilisation Statistics is high. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published within approximately nine months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics have been developed since 1990, but are only comparable in their current form from 2017 onwards., Eurostat and the OECD make comparable statistics in this field. There are a number of organizational and institutional conditions that we must keep in mind when comparing countries. , Read more about comparability, Accessibility and clarity, The statistics are released in the newsletter Nyt from Statistics Denmark (in Danish only) and the Statbank, Statbank tables on hospitalisation utilisation (https://www.Statbank.dk/20050). Statistical Yearbook and Statistical Ten-Year Review contain selected sections about hospitalisation rates. For further information, go to the , subject page, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Purchase of prescription drugs

      Contact info, Personal Finances and Welfare, Social Statistics , Jonas Kirchheiner-Rasmussen , +45 61 50 23 80 , RAS@dst.dk , Get documentation of statistics as pdf, Purchase of prescription drugs 2024 , Previous versions, Sale of prescription drugs (experimental Statistics) 2021, The aim of the statistics "Purchase of prescription medicine" is to elucidate the population’s purchase of medicines via prescription. The statistics can be used to get insight into the distribution of redeemed prescriptions in relation to type of medicine, gender, age, geography and social conditions., Statistical presentation, The statistics "Purchase of prescription medicine" contain information on all sales of human medicines in Denmark, which took place via prescription. The statistics also cover the sale of medicines that do not require a prescription but are sold on prescription. Sales are calculated in relation to the number of people who have redeemed a prescription, the number of prescriptions redeemed and number of redeemed prescriptions per citizen. The statistic covers the period from the 1st of January 2016 to the 31st of December 2024. , Read more about statistical presentation, Statistical processing, Source data comes from the Danish Health Data Agency, which once a month calculates all sales of human and veterinary medicines in Denmark, after they have validated and quality checked the data., The sales are compiled on an annual basis and linked with selected personal information from Statistics Denmark’s registers, including users’ gender, age, geography, and education., Read more about statistical processing, Relevance, The statistics can be used by ministries and other public authorities for ongoing monitoring of the population’s redemption of prescriptions. Researchers can use the statistics as a proxy for morbidity and developments over time, while the general public can use the statistics for general information on pharmaceutical consumption in Denmark., Read more about relevance, Accuracy and reliability, Pharmacies are required by law to report data to The Danish Health Data Authority, but source data only cover sales of human medicines via prescription. This does not necessarily mean that the person who bought the medicine has taken the medicine. At the same time, the statistics do not contain information on the purchase of medicines without a prescription and it does not contain information about medicines used in hospitals or in medical practices. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published in January 2025. Future releases are expected to be published in November., Read more about timeliness and punctuality, Comparability, Several comparable national and international statistics exist about the consumption of medicines. There are several factors that can influence the sales of prescription medicine. Regulations of witch medicines that require prescription and the amount of subsidies offered by the authorities, can vary from country to country and over time. Therefore it is important to be observant of these factors, if the statistics is used to evaluate the consumption of medicine over time or to compare consumption from country to country., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt from Statictics Denmark, . In StatBank Denmark, the statistics are published under the topic , Consultations of physicians, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchase-of-prescription-drugs

      Documentation of statistics

      Documentation of statistics: Childcare after school start

      Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , RIE@dst.dk , Get documentation of statistics as pdf, Childcare after school start 2024 , Previous versions, Childcare after school start 2023, Childcare after school start 2022, Childcare after school start 2021, Childcare after school start 2020, Childcare after school start 2019, Childcare after school start 2018, Childcare after school start 2017, Childcare after school start 2016, The statistics illustrate the number of children in childcare for schoolchildren and the number of employees with pedagogical assignments. The subject of childcare used to cover the entire childcare area for children from the age of 0-18 years, which from 2015 has been divided into childcare pre-school for children (0-5 years) and childcare school for children (6 - to 18 years). The purpose of this statistics is to shed light on childcare for schoolchildren., Statistical presentation, The statistics is an annual inventory of the number of enrolled children and the number of employees with pedagogical assignments in childcare for schoolchildren. The children and young people are measured by municipalities, category of child care, type of ownership and age. The staff are measured by municipalities and positions category. The statistics are published in StatBank Denmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from municipalities and payroll systems. It is supplemented by data from the Ministry of Education and electronic reports from self-employed and private institutions. The data collected are validated for large deviations as well as inconsistent information from the different sources and is compared with the numbers from previous years. , Read more about statistical processing, Relevance, There are several different diverse users of the statistics. The Danish Ministries use the statistics to compare the resource allocation to childcare in different municipalities and to develop policies on child care. Interest organizations, such as the National Association of Pedagogues (BUPL), the National Associations of Muncipalities (KL) and The Association of Parents (FOLA) use the statistics to assess the allocation of resources and the service level in the childcare area. Data has been collected on the basis of an agreement between Statistics Denmark and the Ministry of Children and Social Affairs., Read more about relevance, Accuracy and reliability, The inventory contains information from all 98 municipalities. The accuracy is affected by errors in municipal registrations and the assessment institutions on whether the staff is working in childcare or as the teacher in the same school. Some new established institutions can be missing and some can have changed status without Statistics Denmark has been informed. , Read more about accuracy and reliability, Timeliness and punctuality, The inventories are published without delay in relation to the pre-announced release date in the release calendar. The publications take place once a year., Read more about timeliness and punctuality, Comparability, Statistic on childcare can be dated back to 1943. In general it is possible to compare the total number of children and type of institutions from 1994 onwards. However be aware that the day of reference changes from spring to autumn from 2004. Statistics on childcare are published in several countries, but they do not have common guidelines. The subject of child care in the OECD countries is described in the yearly report Education at a Glance., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark under the subject of , Childcare, . For further information, go tp the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/childcare-after-school-start

      Documentation of statistics

      Documentation of statistics: Cost index for refuse collection, sludge removal and freight transport by road

      Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Cost index for refuse collection, sludge removal and freight transport by road 2025 , Previous versions, Cost index for refuse collection, sludge removal and freight transport by road 2024, Cost index for refuse collection, sludge removal and freight transport by road 2022, Cost Indices for Refuse Collection and Slurry Pump 2021, Cost Indices for Refuse Collection and Slurry Pump 2020, Cost Indices for Refuse Collection and Slurry Pump 2019, Cost Indices for Refuse Collection and Slurry Pump 2018, Cost Indices for Refuse Collection and Slurry Pump 2017, Cost Indices for Refuse Collection and Slurry Pump 2016, Cost Indices for Refuse Collection and Slurry Pump 2015, Cost Indices for Refuse Collection and Slurry Pump 2014, Documents associated with the documentation, Vægtgrundlag, Omkostningsindeks for dagrenovation, slamsugning og lastvognskørsel (pdf) (in Danish only), The purpose of these indices is to show trends in prices for refuse collection, slurry pump and freight transport by road in Denmark. The indices are made at the request of Dansk Transport og Logistik (DTL - Danske Vognmænd) and are, among others, used for price regulation of contracts. The indices have been published since 1997., Statistical presentation, The indices are produced on a quarterly basis and separately for refuse collection, slurry pump and freight transport by road. They are calculated separately for each industry. In addition, separate indices for each industry excl. the cost of fuel, are also published., Read more about statistical presentation, Statistical processing, The Cost index for refuse collection, slurry pump and freight transport by road includes costs of labor, repairs and maintenance, fuel, tires, administration, insurance and capital costs. These are weighed together to form the total indices. The weights reflect the cost shares of the total costs of performing refuse collection, slurry pump and freight transport by road. For indices excl. fuel, the fuel category has been removed from calculations., Read more about statistical processing, Relevance, The purpose of the indices is to reflect the development in the costs of refuse collection, slurry pump and freight transport by road., Read more about relevance, Accuracy and reliability, Index weights are established in cooperation with Dansk Transport og Logistik (the Danish Transport and Logistics Association) and Dansk Industri (Confederation of Danish Industry). The indices are deemed representative for refuse collection, slurry pump and freight transport by road performed in Denmark., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly at the beginning of February, May, August and November. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The cost indices for refuse collection and slurry pump are comparable over time from 1997 until today. The cost index for freight transport by road is comparable over time from 2022 until today., There are no international statistics which are directly comparable to the Danish indices., Read more about comparability, Accessibility and clarity, The statistic is published in the Statbank as , BYG91, . See more on the statistic's , subject page, A subscription service is available, where overviews of the statistic are send quarterly by email. The subscription is only available in Danish and can be ordered , here, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cost-index-for-refuse-collection--sludge-removal-and-freight-transport-by-road

      Documentation of statistics

      Documentation of statistics: Survey on Living Conditions (SILC)

      Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2025 , Previous versions, Survey on Living Conditions (SILC) 2024, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

      Documentation of statistics
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