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      Documentation of statistics: Government deficit and debt in the EU-countries

      Contact info, Government Finances, Economic Statistics , Jesper Lillebro Feddersen , +45 20 51 61 92 , JEF@dst.dk , Get documentation of statistics as pdf, Government deficit and debt in the EU-countries 2024 , Previous versions, Government deficit and debt in the EU-countries 2023, Government deficit and debt in the EU-countries 2022, Government deficit and debt in the EU-countries 2021, Government deficit and debt in the EU-countries 2020, Government deficit and debt in the EU-countries 2019, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2018, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2017, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2016, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2015, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2014, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2013, EMU-debt and EMU-deficit (Government deficit and debt) is the statistical data required for the excessive deficit procedure (EDP) in the Economic and Monetary Union in according to the Maastricht Treaty and Stability- and Growth Pact. The EU-Commission uses the statistics to monitor and examine the development of the budgetary situation and government debt in Denmark in accordance with the Maastricht Treaty convergence criteria. The Compilations are based on the European System of Accounts (ESA2010). However, on some points they differ from ESA2010, e.g. on the valuation of debt, which is at nominal value., Statistical presentation, The compilation of consolidated gross debt at nominal value for general government is sometimes referred to as EMU-debt/government debt. The deficit is sometimes referred to as the EMU-deficit/government deficit. Government deficit and debt in EU was first published in spring 2003. Covering data on ESA2010 back from 2010, at the moment. Danish Government deficit and debt was first published in fall 2004. Covering data on ESA2010 back from 2000., Read more about statistical presentation, Statistical processing, Main sources are balance sheets and income statements from the central government, regions and municipalities and and social security funds. Frequency of data collection is Semi-annual and quarterly. Because of the number of consistency checks and data confrontations facilitated by the system of accounts. Further more Eurostat/EU-commission assess the quality of EDP-data by a detailed inventory, a clarificationproces after the notifications and by standard dialogue and upstream visits every second year., Read more about statistical processing, Relevance, High., Read more about relevance, Accuracy and reliability, The government deficit and debt is based on accounts figures for the whole general government sector that have a very limited degree of inaccuracy. , The statistical uncertainty is not calculated. , The overall accuracy is considered to be relatively high., Read more about accuracy and reliability, Timeliness and punctuality, Debt: End of the quarter and end of the year., Deficit: Current year., The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Government EMU-debt is to a certain degree comparable with quarterly financial accounts for general government since both statistics are based on the sectors and instruments defined in ESA2010. The primary differences are: Government EMU-debt is based on nominal values, while quarterly financial accounts for General Government are based on market values., In a similar way, Government Deficit is comparable with the national accounts compilations of net-lending for General Government in the so called March- and June-versions., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , EMU debt and EMU balance, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-deficit-and-debt-in-the-eu-countries

      Documentation of statistics

      Documentation of statistics: Structure of Earnings

      Contact info, Labour Market, Social Statistics , Bao Chau Do , +45 30 62 50 74 , BCD@dst.dk , Get documentation of statistics as pdf, Structure of Earnings 2024 , Previous versions, Structure of Earnings 2023, Structure of Earnings 2022, Structure of Earnings 2021, Structure of Earnings 2020, Structure of Earnings 2019, Structure of Earnings 2018, Structure of Earnings 2017, Structure of Earnings 2016, Structure of Earnings 2015, Structure of Earnings 2014, Structure of Earnings 2013, The purpose of the structure of earnings statistics is to provide detailed information about employees' earnings analysed by level of education, occupation, region, industry and age for the entire labour market. The structural statistics on earnings form part of Statistics Denmark's coherent statistical system for earnings and labour costs. The system covers the public sector as well as corporations and organizations., Statistical presentation, The statistics include all establishments in the general government sector. As for the sector corporations and organizations all enterprises are included with an employment corresponding to ten or more full-time employees, with the exception of the industry agriculture, forestry and fishing. The statistics are not immediately suitable for shedding light on wage developments, as the change between two years, in addition to wage increases, reflects changes in employee composition such as the arrival and departure of employees within given groupings., Read more about statistical presentation, Statistical processing, Annually payroll information is collected for the entire General government sector as well as for companies in the private sector with 10 or more full-time employees. The public sector is considered full deck while the total population of private sector is only comprised of enterprises with 10 or more full-time employees., Read more about statistical processing, Relevance, Users of statistics are wide-ranging from national and international organizations , ministries , municipalities and regions for private companies and individuals. The structure of earnings statistics cannot be used as an employment indicator. For this purpose one should instead use the employment statistics. , Read more about relevance, Accuracy and reliability, The margins of statistical errors are especially linked to hours of work. Especially data reported on paid absence can be subject to inaccuracies. In addition to this, there may be errors in the periodic delimitation, which are essential to the compilation of hours worked as well as the agreed working time. However, efforts are continuously made to improve the data quality through feedback to the enterprises and through updating and improvement of the production systems., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The structure of Earnings is published on a yearly basis at then end of September following the reference period. The information is normally published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, These statistics are in its current form, comparable from 2013 and onwards. Structural changes from year to year must be taken into account, when comparing the level of earnings over time. Annual data are transmitted to Eurostat by all EU Member States, and the statistics Structure of Earnings Survey (SES) are compiled on the basis of these data. , Read more about comparability, Accessibility and clarity, These statistics are published annually 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 , Structure of earnings, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/structure-of-earnings

      Documentation of statistics

      Documentation of statistics: Vocational Education

      Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , alg@dst.dk , Get documentation of statistics as pdf, Vocational Education 2024 , Previous versions, Vocational Education 2023, Vocational Education 2022, Vocational Education 2021, Vocational Education 2020, Vocational Education 2019, Vocational Education 2018, Vocational Education 2015, These statistics cover vocational education activity in Denmark. A vocational education is a youth education which gives the student a vocational qualification. Vocational education statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all students and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly estimates of on the activity on vocational educations in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and enrolment type, and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for the statistics is collected yearly in October from the administrative systems of the educational institutions. Data is adjusted into the format used in the Student Register. In cooperation with the National Agency for It and Learning, Statistics Denmark has set guidelines for this conversion, since the conversion depends on the type of student. Data is validated at both macro and micro level, where fluctuations in the number of students across time are controlled for errors and irregularities at the individual level, for example overlap between educations, are corrected., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the pupils and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. The vocational education field is a field with many different ways to get an education, which creates more possibilities for incorrect registrations e.g. wrong registrations of the students on the institutions or errors in the conversion to the correct format., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time which is 1 October. , Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on vocational education have been made further back than this. Vocational education reforms can be a challenge when comparing figures over time. Furthermore, it may be difficult to compare the figures internationally, as vocational training is defined differently from country to country., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Upper secondary education, . For further information, see the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/vocational-education

      Documentation of statistics

      Documentation of statistics: Nights Spent at Marinas

      Contact info, Short Term Statistics, Business Statistics , Majbrit Holst , +45 24 94 08 24 , mbj@dst.dk , Get documentation of statistics as pdf, Nights Spent at Marinas 2025 , Previous versions, Nights Spent at Marinas 2024, Nights Spent at Marinas 2023, Nights Spent at Marinas 2022, Nights Spent at Marinas 2021, Nights Spent at Marinas 2020, Nights Spent at Marinas 2019, Nights Spent at Marinas 2018, Nights Spent at Marinas 2017, The purpose of the survey Overnight stays in marinas is to supply information on the tourism activity in the Danish marinas. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. Furthermore the statistics is used to identify the most popular marina areas in Denmark. The survey is collected on a voluntary basis and is made in collaboration with VisitDenmark. The survey has been compiled since 1992. The survey went from mandatory to voluntary in 2004 which has had an impact on the response rate and thus also the comparability over time., Statistical presentation, The statistics regarding marinas is a monthly seasonally survey about boats and guest nights spent by visiting yachts in marinas in the months of May-September. The statistics are divided into nationalities of the guests, as well as geographically by regions, parts of the country and waters. In addition, there is an annual assessment of the capacity of marinas divided into parts of the country and the size of the marina. Numbers of Municipal distribution is published at the homepage of VisitDenmark., Read more about statistical presentation, Statistical processing, Data for the statistics is collected monthly for for the reference months May to September. The monthly statistics shows temporary data for the activity in the marinas. If a marina has not reported data from the same month the year before is imputed. At the end of the reference year the imputed data is replaced by reported final data for the year. The numbers of nights spent at marinas are calculated by using a average factor for the size of the crew. The average factor is based by a survey made by VisitDenmark in 2017. Data for the statistics is collected via an upload solution or by a electronis questionaire. 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 marina statistics was made voluntary from 2004 which may influence the comparability over time as well as the coverage. Some reports are based on a best estimate by the respondent and therefore in risk of being wrong. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published on a monthly basis for the reference months May-September approx. 40 days after the end of the reference month. Furthermore, an annual publication is made that is published approx. 75 days after the end of the reference year. The survey is published according to the scheduled time table and therefore has a high degree of punctuality., Read more about timeliness and punctuality, Comparability, From 2004 the statistics are voluntary which minimize the comparability over time. From 2007-20016 a new factor regarding the size of the crew has been phased in. From 2017 an onwards this factor is fully phased in. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt from Statistics Denmark, . In the statbank the figures are published under the subject , Marinas, and , All 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 marinas 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/nights-spent-at-marinas

      Documentation of statistics

      Documentation of statistics: Mining and Quarrying

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

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

      Documentation of statistics

      Documentation of statistics: ICT Usage in Households and by Individuals

      Contact info, Science, Technology and Culture, Business Statistics , Anne Vibeke Jacobsen , +45 20 14 84 28 , AVJ@dst.dk , Get documentation of statistics as pdf, ICT Usage in Households and by Individuals 2025 , Previous versions, ICT Usage in Households and by Individuals 2024, ICT Usage in Households and by Individuals 2023, ICT Usage in Households and by Individuals 2022, ICT Usage in Households and by Individuals 2021, ICT Usage in Households and by Individuals 2020, ICT Usage in Households and by Individuals 2019, ICT Usage in Households and by Individuals 2018, ICT Usage in Households and by Individuals 2017, ICT Usage in Households and by Individuals 2016, ICT Usage in Households and by Individuals 2014, The purpose of the statistics ICT Usage in Households and by Individuals is to analyse the access to and use of the Internet, and to follow the development. Survey questions have been deleted and added from time to time, in order to reflect new aspects and developments. The survey is based on international cooperation, a common Eurostat questionnaire and methodological guidelines. The statistics have been compiled since 2001 and in the present form it is comparable from 2008 onwards., Statistical presentation, This survey is based on a European model questionnaire coordinated by Eurostat. The survey covers among other subjects; access to and use of the Internet and computers at home and at work, type of internet connection used, type of device used for internet access e-commerce etc. Results are calculated both for the population as a hole and for subgroups divided by sex, age, occupation, type of family etc. A number of questions concerning access are directed at households instead of the individual., Read more about statistical presentation, Statistical processing, The results of the survey are grossed-up to ensure their representativeness. After collecting the data, the sample is grouped by a number of background variables, such as age and gender. Each answer gets a 'weight' that correct possible biases. The calculations are done by a regression estimator., Read more about statistical processing, Relevance, The statistics are used by the general population, the authorities, interest organizations, journalists etc. as a basis for political initiatives, analyses, articles, forecasts, exam projects, etc., Read more about relevance, Accuracy and reliability, The survey is based upon simple random selection samples, and the results are therefore subject to statistical uncertainty. For the entire populations access to Internet the uncertainty is limited, since the degree of coverage is high. Uncertainty reflects variations in the collected data in comparison to the size of the sample. If all persons/families were identical with respect to access to and use of the Internet, then a sample size of 1 would in principle be adequate. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published annually and the results are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states., 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 , Digital behaviour, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-usage-in-households-and-by-individuals

      Documentation of statistics

      Documentation of statistics: Convicted Persons

      Contact info, Population and Education, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , joe@dst.dk , Get documentation of statistics as pdf, Convicted Persons 2024 , Previous versions, Convicted Persons 2023, Convicted Persons 2022, Convicted Persons 2021, Convicted Persons 2020, Convicted Persons 2019, Convicted Persons 2018, Convicted Persons 2017, Convicted Persons 2016, Convicted Persons 2015, Convicted Persons 2014, Convicted Persons 2013, Documents associated with the documentation, Rape Convicted persons_2024 (docx), The purpose of the statistics is to analyze the number of persons who have been found guilty in violation of the penal code and the special laws (among these the Danish Road Traffic Act). The statistics on convicted persons was published for the first time for the year 1995. Since then it has been published for the years 1998, 2000, 2002 and 2004 and hereafter annually., Statistical presentation, The statistics shed light on the number of persons who have been convicted for violation of the penal code, the road traffic act and other special legislation. In the published statistics the convicted persons are classified into sex, age, municipality, national origin, country of origin and type of offence and conviction. From 2018-2021 also into citizenship and from 2021 into socio economic status and education. , Read more about statistical presentation, Statistical processing, Data from Statistics Denmark's register of convictions are linked to data from Statistics Denmark's population register and Statistics Denmark's income register. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, enterprises, organisations, researchers, the press, in the public debate etc. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The data used in the statistics are drawn from the Central Criminal Register. The data are typically drawn about 1 February following the relevant calendar year. A number of convictions made during the calendar year have not been registered before the data are drawn. This implies that the total number of convictions presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 11 months after the end of the reference year. The statistics are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 1995, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. An overview of new and ceased type of offences can be found in this annex (in Danish only): Development in types of offences., Fines for violation of the road traffic act below DKK 2,500 are not included in the statistics as from 2012. In the period 2001-2011 the limit was DKK 1,500 and before 2001 DKK 1,000., Read more about comparability, Accessibility and clarity, In StatBank the statistics are published in , Convicted Persons, ., Furthermore the statistics are published in the publication , "Kriminalitet", (Criminality) and the publication , "Indvandrere i Danmark", (Immigrants in Denmark, as from 2005)., See more at the , Subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/convicted-persons

      Documentation of statistics

      Documentation of statistics: The Use of Cereals

      Contact info, Food Industries, Business Statistics , Mads Haaning Andersen , +45 51 85 76 27 , MHG@dst.dk , Get documentation of statistics as pdf, The Use of Cereals 2023 , Previous versions, The Use of Cereals 2022, The Use of Cereals 2021, The Use of Cereals 2018, The Use of Cereals 2016, The Use of Cereals 2014, The purpose of the statistics is to compile a grain balance, primarily with the aim of calculating the quantities of grain that go to feed consumption, both for each individual crop and for the total amount of grain. In the grain balance, the amount of grain from harvest and import is calculated, and it is distributed among different uses. The statistics are used to calculate the Economic Accounts for Agriculture. Supply balance sheets for cereals for the crop year have been compiled since 1900/01. Balance sheets for the calendar year have been compiled since 1961. Data in its present form is comparable from 1995 onwards., Statistical presentation, The statistics is an annual calculation of the supply balance sheets for cereals in million kg. The utilization of cereals is calculated both for calendar year and crop years and is published for 6 different cereals and cereals in total. The supply balance sheets contain for each type of cereals statistics on cereals available: harvest, imports and initial stocks, as well as statistics on the use of cereals for different purposes: exports, final stocks, seeds, flour production and other manufacturing, feeding. Moreover, the supply balance sheets are produced based on the origin of the cereals, whether it is produced in Denmark or abroad., Read more about statistical presentation, Statistical processing, The data is collected in biannual and annual questionnaires where the incoming data is checked. Data is from different sources where some are sample surveys and others are censuses why there can be differences in how the further data is calculated. Censuses are aggregated whereas sample surveys are listed according to known target variable. , Read more about statistical processing, Relevance, It is relevant for the agricultural organizations, ministries and agencies, who uses it to follow the development in the use of cereals in Denmark. Moreover it is an input to the Economic Accounts for Agriculture. The users can comment on the statistics in the user committee for agricultural statistics and the users have expressed satisfaction with the statistics. , Read more about relevance, Accuracy and reliability, The utilization of cereals are build on sample surveys for stock of cereals at farms, the harvest of cereals and international trade of goods and the results are therefore subject to some uncertainty. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets., Read more about accuracy and reliability, Timeliness and punctuality, It is published twice a year- The statistics concerning the crop year, end of period June 30th, is published in January/February together with the feed consumption, approximately 6 months after the end of the reference period. The statistics following the calendar year is published in May together with the Economic Accounts for Agriculture, barely 6 months after the end of the reference period. Data is preliminary until 2,5 years after the end of the reference period. The statistics is punctual and is published without delay., Read more about timeliness and punctuality, Comparability, The utilization of cereals is comparable back to the crop year 1960/61 and the calendar year 1960. Stocks were not a part of the statistics before 1960. It is in compliance with the current EU legislation and it is an input to the Economic Accounts for Agriculture which is comparable to the Economic Accounts for Agriculture published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Crop production, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-use-of-cereals

      Documentation of statistics

      Documentation of statistics: Social resources

      Contact info, Personal Finances and Welfare , Birgitte Lundstrøm , +45 24 21 39 65 , BLS@dst.dk , Get documentation of statistics as pdf, Social resources 2022 , Previous versions, Social resources 2021, Social resources 2020, Social Resources 2019, Social Resources 2018, Social Resources 2017, Social Resources 2016, Social Ressources – Elderly and Adults 2015, Social Ressources – Elderly and Adults 2014, The purpose of the survey is to establish the available social resources (capacity, number of users, and general organization, etc.) in Danish municipalities. Furthermore, the survey analyses the social- and health-care related services administered by municipalities. These services include care for the elderly, dental services for children and young people and special institutions for children and young people etc. The social resources survey includes public and privately owned institutions. The statistics are published for the first time in 1972 but have been changed over time due to changes in legislation an user needs., Statistical presentation, Social resources is a yearly measurement of social services delivered by municipalities concerning care for elderly, adults and children and young people receiving social benefits . The data are published for Denmark as a whole. Some data are further more grouped by regions or municipalities. , Read more about statistical presentation, Statistical processing, Data are collected yearly from municipalities from six questionnaires. Data are validated against previously collected information and controlled for large variances over time. Further more data are checked for inconsistency and validated against legal developments at the area. Some data concerning age distribution are imputed where municipalities have only registered total data. , Read more about statistical processing, Relevance, The statistics are primarily of interests for the central government and various government boards and are used for estimating and planning capacity and occupancy rates within social services. Core actors and users of the survey are actively involved in adjusting the content each year which means that user needs are taken into account., Read more about relevance, Accuracy and reliability, The survey is a full-scale census based on responses from all municipalities. In some cases it is difficult for the municipalities to provide the correct data from their systems or they change their way of reporting data. In these cases data received might be less accurate of vary over time. A certain statistical uncertainty is caused by municipalities difficulties with estimating different services and caused by different administrative practices between municipalities. , Read more about accuracy and reliability, Timeliness and punctuality, Most of the information are collected for one single week in April depending on Easter. In some cases data are collected for the entire previous year. A Danish press release and a number of corresponding tables (RESI01, RESP01, RESDHJCE, RESMAD, RESANDHJ, RESPLEJV, RESPRVHJ, RESTAND) are published at the end of November then same year. The rest of the tables (RESFAMPL, RESHJMTR, RESLED, RESFDPJ, RESSBU2) are published in the Statbank at the end of March the following year. These statistics are normally published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, The survey goes back to 1972. However, due to yearly changes the version used in 1972 has little in common with the one used today. Furthermore, due to the municipal reform there was a break in times series in 2006 and 2007. The totals for the country as a whole are, however, comparable before and after the reform., Read more about comparability, Accessibility and clarity, These statistics are published once a year in a Danish press release. Further more the statistics are published in the StatBank under the subjects:, Elderly people receiving social benefits, , , Disadvantaged children and young people, , , Disability care, , , Health, Visits to physicians, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-resources

      Documentation of statistics

      Documentation of statistics: Environmental Protection Expenditures

      Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , HHU@dst.dk , Get documentation of statistics as pdf, Environmental Protection Expenditures 2024 , Previous versions, Environmental Protection Expenditures 2023, Environmental Protection Expenditures 2022, Environmental Protection Expenditures 2021, Environmental Protection Expenditures 2020, Environmental Protection Expenditures 2019, Environmental Protection Expenditures 2018, Environmental Protection Expenditures 2017, Environmental Protection Expenditures 2016, Environmental Protection Expenditures 2015, Environmental Protection Expenditures 2014, Environmental Protection Expenditures 2012, In general the statistics illustrate the total direct environmental protection expenditures in the covered types of industry. Distinction is made between current expenditures and investments. Current expenditures includes as well internal costs in the enterprises as purchase of services on environmental protection. Results can be further displayed on spending according to environmental purposes: Protection of ambient air and climate, Wastewater management, Waste management, Heat/energy saving and management and Other environmental protection activities. , Statistical presentation, The statistics describes annually the expenditures on direct environmental protection by types of industry within mining, manufacturing and utilities. Expenditure are reported at environmental purposes either as internal operating expenses or purchase of services related to environmental protection. On the investment side investments are split in either prevention or treatment., Read more about statistical presentation, Statistical processing, Data are collected among enterprises every second year. All enterprises with more than 50 employees are included plus few smaller ones where needed. From 2024 it is ensured that all large energy producers are part of the sample, regardless of main type of activity., The results from data collection are grossed up to totals for each type of industry after data are imputed for the smaller enterprises. These results are supplemented by expenditures in water supply and data from R&D statistics on environmental R&D., In years without data collection, the results are calculated using last years data, changes in turnover according to the account statistics, and the statistics on Investments in manufacturing industries , Read more about statistical processing, Relevance, The results is expected to meet the needs for the users. However, only direct costs are included in the statistics. Results from 2014 and onwards are included in the Green National Accounts., Read more about relevance, Accuracy and reliability, Overall, the results are expected to be reliable. Figures for errors are not yet compiled. The main challenge on quality is the imputation for smaller enterprises, where costs/employee rations are used. This method has been assessed in 2015 and found valid., In years without data collection the results are less secure. Analyses show close relation between turnover and environmental costs on the short run. For investments the results of the estimation is less good due to few observations behind the results., Read more about accuracy and reliability, Timeliness and punctuality, Results are published according to the schedule., Read more about timeliness and punctuality, Comparability, The comparability is expected to be good from 2014 and onwards. For the utility sector the results before 2024 is assessed as underestimated., Read more about comparability, Accessibility and clarity, The statistics are disseminated in the statbank. , Env. expenditures in manufacturing, ., Further, the results is part of a module in the Danish Environmental-economic accounts, Environmental-economic accounts, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-protection-expenditures

      Documentation of statistics
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