Search result

Documentation of statistics: Income and consumption distribution in the household sector (experimental statistics)

Contact info, Government Finances, Economic Statistics , Ulla Ryder Jørgensen , +45 51 49 92 62 , URJ@dst.dk , Get documentation of statistics as pdf, Income and consumption distribution in the household sector (experimental statistics) 2022 , Previous versions, The purpose of the statistics is to bring together the benefits from the national accounts system, which provides a coherent description of the economy, and from microeconomic statistics on households, so that one can take a closer look at how incomes and consumption are distributed between different types of households., Statistical presentation, The distribution of income and consumption for the household sector of the national accounts is an experimental annual calculation of income and private consumption at household level, which is aggregated by quintiles and household types. The survey covers private households in Denmark., Read more about statistical presentation, Statistical processing, Virtually all economic statistics that are available are used for the national accounts. When new sources are ready, they are continuously incorporated into the national accounts according to a fixed rhythm. Three years after a given period, the national accounts are considered final., The consumption survey is a sample survey, where the number of households is 2,200 out of Denmark's total of approx. 2.8 million private households. From 2024, 3,200 will be asked. The study includes information from three data sources: Accounts, CAPI interviews and registers., Read more about statistical processing, Relevance, The statistics are relevant to everyone who deals with socio-economic conditions for households., Read more about relevance, Accuracy and reliability, The ability of the national accounts to accurately describe economic reality depends partly on the uncertainty associated with the sources and partly on the model assumptions underlying the preparation. Some parts can be calculated more precisely than others, as there is better access to source data. The first estimates of a period's national accounts will be more uncertain than the final version, which comes after three years, as they are continuously revised when new sources become available., The participation rate for the Consumption Survey in the years 2018-2022 has varied with . This creates uncertainty, not least for detailed consumption groups. For the total consumption, this means that there is an uncertainty margin of +/- 1.2 per cent. while for bread, for example, it is 2 per cent. For Food and non-alcoholic beverages, it is 1.2 per cent. , while for Alcoholic beverages and tobacco it is 4.8. There is under-reporting in a number of areas such as alcohol, tobacco, prostitution and undeclared work. The uncertainty is greater when data is based on accounting instead of interviews, and it will be greater if you look at smaller subgroups of households. , In these statistics, we have chosen a more general level to ensure greater consistency between the national accounts and the consumption survey, as well as to minimize uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics were first published approx. 23 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The national accounts and the consumption survey are carried out according to guidelines from the European statistical office Eurostat. Comparable figures are published by Eurostat. The distributional figures are still experimental in both Eurostat and Denmark., Read more about comparability, Accessibility and clarity, In the Statistics Bank, the results of the statistics are published under the subject , Complete national accounts - Household consumption, total economy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/income-and-consumption-distribution-in-the-household-sector--experimental-statistics-

Documentation of statistics

Documentation of statistics: Productivity

Contact info, National Accounts, Climate and Environment, Economic Statistics , Magnus Børre Eriksen , +45 29 12 27 56 , MBE@dst.dk , Get documentation of statistics as pdf, Productivity 2024 , Previous versions, Productivity 2023, Productivity 2022, Productivity 2021, Productivity 2020, Productivity 2019, Productivity 2018, Productivity 2017, Productivity 2015, Productivity 2014, Productivity 2011, The purpose of the statistics Productivity is to examine the change in production per unit of the resources involved and which contributes to the change. The simplest and most commonly used concept of productivity is labor productivity, which is used here. Labor productivity (LP) and the causes for the change in LP is calculated back to 1966., Statistical presentation, Productivity is basically a measure of how efficiently you use your resources (labor, capital, etc.) when producing goods and services. In this statistic it is also calculated which resources contribute most to the change in productivity. Productivity change is distributed across industries for the various productivity components. The statistics are disseminated in News from Statistics Denmark and the StatBank., Read more about statistical presentation, Statistical processing, Labor productivity is defined as the real value of Gross value added (GVA) per hour worked. The calculations are based on figures from market activity from national accounts, i.e. the total economy excluding the sectors: General government (S.13) and NPISH (S.15). The sources used for calculating the productivity growth is fixed capital, Labor force education statistics and sector account figures for Gross value added and hours worked., Read more about statistical processing, Relevance, The national accounts (including Productivity statistics) constitute core indicators of the analyses of economic growth. Users are primary researchers, economic departments and organizations., The division of national accounts continuously evaluates feedback from our users., Read more about relevance, Accuracy and reliability, The precision of the calculation of productivity growth is closely related to the uncertainty of the variables that are included in the calculation. I.e. how well, the value of an hour's work is reflected in the gross value added in fixed prices for the industry; the quality of the calculated hours and whether there are special conditions in the industry that make labor productivity less relevant, e.g. high capital intensity. For multiple industries, labor productivity growth should not stand alone in productivity analyzes. This applies, for example, to dwellings, public administration, education and health., Read more about accuracy and reliability, Timeliness and punctuality, First preliminary version of Labor productivity (LP) for year t is published end of March in year t+1. The final version of LP for year t is published end of June in year t+3. First preliminary version of Productivity growth (Sources of LP) for year t is published no later than December year t+1. The final version of Productivity growth (Sources of LP) is published no later than December year t+3. The productivity statistics are published according to schedule., Read more about timeliness and punctuality, Comparability, This statistic is based on national accounts. Therefore this statistic is consistent with respect to national accounts and comparable over time. Moreover this statistic is comparable to other countries productivity figures if they are also based on ESA2010., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Productivity, . See more information , here, ., Read more about accessibility and clarity

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

Documentation of statistics

Classification on education (DISCED-15), current educations, v1:2025

Name: , DISCED15_UDD_HOVED_V1_2025 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2025 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, Still valid, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd

Documentation of statistics: Parental leave benefits

Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , AOM@dst.dk , Get documentation of statistics as pdf, Parental leave benefits 2024 , Previous versions, Parental leave benefits 2023, Parental leave benefits 2022, Parental leave benefits 2021, Parental leave benefits 2020, Benefits in connection with childbirth 2019, The statistics Parental leave benefits in connection with childbirth shed light on the use of the Maternity Act, including equality between mothers and fathers. The statistics have been compiled since 1995, but in 2017 changed data source. Since 2017, data from ATP / Udbetaling Danmark's IT system for the administration of payment of parental benefits in connection with birth, adoption, child illness etc., Statistical presentation, Childbirth allowance annually calculate a parent's year's use of the rights the Maternity Act gives them, and the distribution of parental leave between the father and mother, as well as the number of persons, and days on benefits. Furthermore, the statistics provide the data basis for calculating amounts paid out in connection with childbirth. , Read more about statistical presentation, Statistical processing, The data basis of the statistics is based on a total extraction from 13 central tables in the database for ATP/Udbetaling Danmark's administrative IT system, UDK-Barsel, and a delta extraction from a 14th table, which is very large. Selected variables from the 14 tables are merged into a single table that constitutes a longitudinal register, the Barselsdagpenge Register, with a well-defined record structure. The Barselsstatistik Register is formed by combining the Barselsdagpenge Register with an extract from the Population Register and other Danish Statistics registers., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining agreements. The statistics are included as an important data element concerning analyzes of the productivity of the Danish workforce (economic model calculations), the labor market accounts, the statistics statistics on Public dependents and the absence statistics, Read more about relevance, Accuracy and reliability, The statistics summarize the reports of birth or adoption that have triggered the payment of due to maternity leave. The expectation is that all cases are reported. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated. In order to get a picture of a parent's year's use of the maternity law, it has been necessary to link several registers and set up an algorithm for calculating the parents' entitlement. There is a risk of programming errors here, just as the algorithm rules are a choice., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published annually three months after the reference year in March-April. March-April is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old. , Read more about timeliness and punctuality, Comparability, The statistics are influenced by local Danish legislation, which makes comparison with similar statistics from other countries difficult. In addition, maternity leave can be calculated in 18 different ways, which is why it requires a good knowledge of the documentation for countries' calculation methods before comparing their figures. At the moment, the statistics cover data for the years 2015-2023, where no data breach has been detected, with the exception that the 1st quarter of 2015 is under-updated, which gives a minor data breach for total counts., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Parental leave benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/parental-leave-benefits

Documentation of statistics

Documentation of statistics: Business and Management Consultancy Activities

Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Business and Management Consultancy Activities 2022 , Previous versions, Business and Management Consultancy Activities 2020, Business and Management Consultancy Activities 2018, Business and Management Consultancy Activities 2016, Business and Management Consultancy Activities 2014, Business and Management Consultancy Activities 2012, The purpose of the statistics is to provide information about the activities in the sector Business and management consultancy activities and thereby improve the knowledge of the sector. Moreover, the purpose is to improve the information in the national accounts statistics regarding the service sector, and finally it contributes to the continuing maintenance of activity codes in the Central Business Register. The statistics carries out every two years. It is a sampling and questionnaire-based statistics. The statistics is a part of EU Structural Business Statistics (SBS). The statistics was carried out for the first time for the year 2005., Statistical presentation, The statistics provides information on the distribution of total turnover (and export) on products and services in the sector Business and management consultancy activities. Furthermore the statistics provides information on the turnover and export divided by clients and residence of client (resident or Non-resident intra-EU or Non-resident extra-EU)., Read more about statistical presentation, Statistical processing, Data are collected by web from 385 enterprises for the sector , Business and Management Consultancy Activities, . In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. Furthermore the statistics is an input to national accounts in Statistics Denmark regarding the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, Overall, the uncertainty of the level of the total turnover is estimated below 1 per cent. The uncertainty varies widely between services and is significantly higher than the uncertainty of the total turnover. For example the service "Consulting in finance (except corporate tax)" has a sampling uncertainty of 21 per cent., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published every second year and approximately 10 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. Before the survey year 2004 the sector , Business and management consultancy activities, has been studied with , Accounting, bookkeeping and auditing activities, . It can be problems in comparing figures over time. The questionnaire, the sample design and the calculation method have been adjusted a few time, latest in 2013, where data for 2012 has been backcasted using new method., Read more about comparability, Accessibility and clarity, These statistics are published in a collective Danish press release for services. The figures can be found in the StatBank under , Business and management consultancy activities, . For more information go to the subject page for the , Service sector, . International comparable figures are available through Eurostat's webpage under , Business Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-and-management-consultancy-activities

Documentation of statistics

Documentation of statistics: Environmental Goods and Services

Contact info, Science, Technology and Culture, Business Statistics , Ole Olsen , +45 29 77 14 98 , OLO@dst.dk , Get documentation of statistics as pdf, Environmental Goods and Services 2023 , Previous versions, Environmental Goods and Services 2022, Environmental Goods and Services 2021, Environmental Goods and Services 2020, Environmental Goods and Services 2019, Environmental Goods and Services 2017, Environmental Goods and Services 2015, Environmental Goods and Services 2013, The statistics on environmental goods and services shows economy and employment related to market-based business activities within environmental protection and resource saving areas. The statistics contribute to the overall picture of what happens in the environmental field and is a part of the environmental accounts. First results covers 2012., Statistical presentation, Environmental goods and services (EGSS) is products with specific environmental or resource saving purposes (e.g. waste water management or production of windmills) as general products cleaner and/or more resource efficient than similar types. Freezers with low energy consumption and construction of low energy houses are examples. The statistics is part of the the Environmental-Economic Accounts for Denmark., The statistics are designed to show results by 16 environmental and resource saving purposes and by type of industry. The activities are categorized in: Environmental specific services, connected goods and services and cleaner and resource efficient products., Read more about statistical presentation, Statistical processing, The data collection 2023 is based on a stratified sample of 1.700 business units out of in total 3,600 units with 10 employees or more in the relevant types of industries, In the complete statistics also estimates for smaller business units and compiled results from existing sources are included., Read more about statistical processing, Relevance, The data users are mainly public authorities working with environment, resources and business activities and international goals in these areas, including the SDG's from 2015. Associations in the same fields are interested as well. The level of satisfaction has not yet been measured., Read more about relevance, Accuracy and reliability, There are several sources of errors, which are considered to induce uncertainty to the results for environmental goods and service. In particular, this is due to the level of clarity of definitions on EGSS. This size of this problem has been reduced by very intensive validation of data., Errors exist mainly in the special surveyed data. In particular the result regarding firms with less than 10 employees have significant errors due to estimation methods., Read more about accuracy and reliability, Timeliness and punctuality, First data release about 11 month after end of reference year. , Read more about timeliness and punctuality, Comparability, The statistics exist for 2012 to 2023. Results for these years can be compared, taken in consideration that results 2012-2014 on construction and knowledge service most probably were underestimated., In principle the results for Denmark can be compared with results from other EU-countries, but different compiling methods may affect the conclusions., Read more about comparability, Accessibility and clarity, The main variables are published in Statistical News and in the http://www.statbank.dk., For a broader description, publications was produced in 2015., It is possible to link data on EGSS with data on in example research, education and salaries., More information can be found under the subject: , Environmental-economic accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-goods-and-services

Documentation of statistics

Documentation of statistics: Economics of Agricultural Activities

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Economics of Agricultural Activities 2024 , Previous versions, Economics of Agricultural Activities 2023, Economics of Agricultural Activities 2022, Economics of Agricultural Activities 2021, Economics of Agricultural Activities 2020, Economics of Agricultural Activities 2019, Economics of Agricultural Activities 2018, Economics of Agricultural Activities 2017, Economics of Agricultural Activities 2016, Economics of Agricultural Activities 2015, Economics of Agricultural Activities 2014, The purpose for this statistics for Economics of agricultural activities are to analyze the economic results for individual crops and livestock production. This also applies to horticultural crops. The statistics are based on holdings that have a work equivalent to at least 1 annual work unit (1 AWU equals 1,665 working hours). Holdings are weighted together, achieving a representative statistics for full-time farms. The basic accounts statistics for agriculture has been compiled since 1916 while the economics of agricultural activities is comparable 2021 onwards. In StatbankDK archive a time series for 2008-2021 can be found. , Statistical presentation, The statistics show economic results of production branches in agriculture. It shows results for crops and livestock on full-time farms and is based on accounting data distributed across 36 production branches. The statistics include, among other things, production value, costs, working hours and key figures. The figures are published in https://www.Statbank.dk and in "Nyt" from Statistics Denmark., Read more about statistical presentation, Statistical processing, The main source to the statistic is account information from accounting offices organized in SEGES. This information is retrieved electronically from the accounting system Ø90 supplemented with necessary additional information (eg. working hours). In addition some financial data for a small number of holdings are retrieved from other accounting offices., The holdings in the sample are checked for outliers and might be excluded in total or from certain activities. The holdings in the final sample are weighted to the population., Read more about statistical processing, Relevance, These statistics are primarily used by researchers and authorities as input into economic models and analyzes., Read more about relevance, Accuracy and reliability, By selection priority is given to farms included in the statistics several years in a row. Together with a uniform collection of data from Ø90 this ensures a high overall reliability of data. , Read more about accuracy and reliability, Timeliness and punctuality, This statistic is normally published with preliminary data within 12 month after closure of the relevant accounting year. Data are final app. three years after closure of the accounting year., Read more about timeliness and punctuality, Comparability, Data from 2021 onwards are comparable. There are no EU based systematic similar statistics for other countries., 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., For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economics-of-agricultural-activities

Documentation of statistics

Documentation of statistics: Advertising Services

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Advertising Services 2023 , Previous versions, Advertising Services 2021, Advertising Services 2020, Advertising Services 2019, Advertising Services 2018, Advertising Services 2017, Advertising Services 2016, Advertising Services 2015, Advertising Services 2014, Advertising Services 2013, The purpose of the statistics Advertising services is to provide information on turnover and types of services in enterprises with Advertising services as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). , The statistics is a part of EU Structural Business Statistics (SBS). The statistics was carried out for the first time for the year 2001. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU)., Read more about statistical presentation, Statistical processing, Data are collected by online questionnaire from a total count of enterprises in the sector Advertising services. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector., The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year and approximately 11 months after the end of the reference year. The statistics is published usually without delay regarding to the announced date. To the EU the data must be delivered within 18 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 where data from 2012 was recalculated with a new method and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, These statistics are published in a collective News from Statistics Denmark , Serviceydelser for serviceerhverv, . The figures can be found in the StatBank under , Advertising services, . For more information go to the subject page for the , Service sector, . International comparable figures are available through Eurostat's webpage under , Business Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/advertising-services

Documentation of statistics

An overview of the Danish economy

Combining the selection of indicators presented below provides a general view of the state of the Danish economy. What is the growth rate of the economy and how is it going with government finances and inflation? What is the situation of the labour market and the housing market? What expectations do economic operators have for the future and what is the outlook for the green targets? Dive into the numbers by clicking the graphs., Danish economy here and now, Consumer expectations, i,   , -20.1, Nov/25, Information, ×, Consumer expectations of the economic situation of not only themselves but also Denmark as a whole, now and in one year , Consumer price index, i,   , 2.1, % Nov/25, Information, ×, Percentage change in the consumer price index total against the same month the preceding year , Core inflation, i,   , 2.3, % Nov/25, Information, ×, Percentage change in the consumer price index excl. energy and unprocessed foodstuff against the same month the preceding year , Retail trade index, i,   , 99.1, Oct/25, Information, ×, Index, 2021=100, quantity indicies seasonally adjusted , Business sentiment indicator, i,   , 101.2, Nov/25, Information, ×, Index=100 calculated as the average for the period 1998 - 2024 , Industrial production index, i,   , 135.8, Oct/25, Information, ×, Index, 2021=100, seasonally adjusted , Bankruptcies, i,   , 199, Nov/25, Information, ×, Bankruptcies in active companies, seasonally adjusted , Persons in employment, i,   , 3,072,023, Oct/25, Information, ×, Total number of employees in the business sector, seasonally adjusted , Unemployed, i,   , 89,835, Nov/25, Information, ×, Most recent number of unemployed persons from either the unemployment indicator or the gross unemployment. Seasonally adjusted, full-time persons , Other indicators, Economic growth (GDP), i,   , 2.3, % Q3/25, Information, ×, Real growth in per cent against the preceding period, seasonally adjusted , Production index of the service sector, i,   , 115.2, Sep/25, Information, ×, The change in the production index for service industries compared to the previous month. , Government surplus/deficit (% of GDP), i,   , 4.5, % 2024, Information, ×, Government EMU surplus or deficit as per cent of GDP , Government debt (% of GDP), i,   , 30.5, % 2024, Information, ×, Government EMU debt as per cent of GDP , Exports, i,   , 178,280, mio. kr. Oct/25, Information, ×, Current account revenue in million DKK from goods and services, seasonally adjusted , Balance of payments surplus, i,   , 32,908, mio. kr. Oct/25, Information, ×, Current account net revenue in million DKK, seasonally adjusted , Price development of single-family houses, i,   , 4.6, % Q2/25, Information, ×, Percentage change in the price index against the same quarter the preceding year, seasonally adjusted , Share index, i,   , 1,231, Oct/25, Information, ×, Index 1995=100 for shares in total on OMXC , Development in single-family house sales, i,   , 9.8, % Q2/25, Information, ×, Percentage change in number of sales against the same quarter the preceding year, seasonally adjusted , Price development of owner-occupied flats in Copenhagen, i,   , 14.6, % Q2/25, Information, ×, Percentage change in the price index against the same quarter the preceding year for owner-occupied flats in the city of Copenhagen, seasonally adjusted , Interest rates, i,   , 2.70, % Nov/25, Information, ×, Average bond yield for all listed bond series (government and mortgage bonds, etc.) , Greenhouse gas emissions, i,   , 38,785, 1.000 ton 2023, Information, ×, The emission of greenhouse gases stated in 1000 tonnes from Danish territory, incl. LULUCF and excl. CO2 from biomass , Share of renewable energy, i,   , 48.4, % 2024, Information, ×, Renewable energy share in per cent of total final energy consumption ,  

https://www.dst.dk/en/Statistik/temaer/overblik-dansk-oekonomi

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