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    Documentation of statistics

    Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Labour and income, Labour market status of the population, Employee Trade Unions, Labour Force Survey (LFS), Labour Market Account, Quarterly Labour Force, Register-Based Labour Force Statistics, The Monthly Labour Force Survey (LFS), Employment and unemployment, ATP-Employment Statistics (Discontinued) (Discontinued), Employees (monthly), Home to work commuting, Indicators for Aggregate Payroll Costs, based on Labour Market Contributions for Employees (Discontinued), Long Term Unemployed Persons, Public sector employment (quarterly), Quarterly Labour Force, Register-Based Labour Force Statistics, Registered unemployment, The annual and quarterly working time accounts before the 2016 revision (Discontinued), The Annual Working Time Account prior to the 2012-Revision (Discontinued), The Quarterly Working Time Account prior to the 2012-Revision (Discontinued), Working time accounts, Absence and labour disputes, Absence from work, Work Stoppages, Income and earnings, A-Income Statistics (income subject to provisional tax), Implicit index of average earnings, Income Statistics, Indices of Average Earnings for the Private Sector (Discontinued), Indices of Earnings for the Public Sector (Discontinued), Standardised index of average earnings, Structure of Earnings, Tax-Related Income Statistics (Discontinued), Wealth, Income Statistics, Market Value for Households Real Estate, Personal assets and Liabilities

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=2

    Documentation of statistics

    Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Environment and energy, Area, Land Accounts, Energy consumption and energy prices, Electricity and natural gas prices, Energy consumption in manufacturing industries, Natural gas weekly (experimental statistics), Price of North Sea oil, Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages, Environmental statistics, Bag of Game Statistics (Discontinued), Emissions of Greenhouse Gasses and Acidifying Gasses (Discontinued), State of Ozonlayer (Discontinued), Violation of Environmental Legislation (Discontinued), Environmental-economic accounts, Climate footprint (experimental statistics), Detailed material flow accounts (physical supply-use tables), Economy-wide material flow accounts, Emission Accounts, Energy Accounts for Denmark, Environmental accounts for Denmark (Discontinued), Environmental Goods and Services, Environmental Multiplier Tables, Environmental Protection Expenditures, Forest Accounts, Land Accounts, Oil and natural gas in the North Sea, Public Expenditure and Revenue on the Environment, Resource productivity (Discontinued), Stock account for fish and shellfish, Waste Accounts, Water and Waste Water, Organic production and trade, Accounts Statistics for Agriculture, Economics of Agricultural Activities, Eggs Production, External Trade of Organic Products, Farm Structure Survey, Milk and Dairy Products, Sale of Organic Foods in Retail Shops, Sales of food and beverages to food service

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=9

    Degree of Urbanisation (DEGURBA) - Statistics Denmark, v1:2007

    Name: , DEGURBA_DST_V1_2007 , Description: , Degree of Urbanization (DEGURBA) is a classification that divides municipalities by population density and the number of inhabitants in the largest city in the municipality. The classification is based on Eurostat's [Degree of Urbanization (DEGURBA)] (https://ec.europa.eu/eurostat/web/degree-of-urbanisation/background). As a supplement to Eurostat's DEGURBA, Statistics Denmark has, for use in Danish context, made a subdivision of , Intermediate density areas, and , Thinly populated areas, by number of inhabitants in largest city in the municipality, see below:, 1: Densely populated areas, 2: Intermediate density areas, 2.1: Intermediate density areas, at least 40,000 inhabitants in the largest city in the municipality, 2.2: Intermediate density areas, between 15,000 and 40,000 inhabitants in the largest city in the municipality, 2.3: Intermediate density areas, less than 15,000 inhabitants in the largest city in the municipality, 3: Thinly populated areas, 3.1: Thin populated areas, at least 15,000 inhabitants in the largest city in the municipality, 3.2: Thinly populated areas, less than 15,000 inhabitants in the largest city in the municipality, In the event that the municipality's largest city spreads over several municipalities (e.g. Birkerød), only those who live in the municipality are included in the determination of the municipality's largest city., Valid from: , January 1, 2007 , Office: , Population and Education , Contact: , Dorthe Larsen, , dla@dst.dk, , ph. +45 23 49 83 26 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Degree of Urbanisation (DEGURBA) - Statistics Denmark, v1:2007, January 1, 2007, Still valid

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

    Documentation of statistics: Road Network and Road Traffic

    Contact info, Short Term Statistics , Karina Moric Ingemann , +45 24 78 42 12 , KAM@dst.dk , Get documentation of statistics as pdf, Road Network and Road Traffic 2022 , Previous versions, Road Network and Road Traffic 2021, Road Network and Road Traffic 2013, The statistics, Road network and Traffic describes the Danish road network, its traffic and the investments in it. The statistics are comparable since 1990. Statistics Denmark disseminates statistics on behalf of The Danish Road Directorate as part of the cooperation between the two institutions., Statistical presentation, These statistics contain information on the number of vehicles per 24 hours after road segment, million vehicle kilometers by means of transport, road network in kilometers by province and type of road and road network investments in million DKK by type of investment., Read more about statistical presentation, Statistical processing, The statistics is processed by the Danish Road Directorate and published by Statistics Denmark as part of a cooperation between the two agencies., Read more about statistical processing, Relevance, The statistics is used by e.g. news media, analytical work, and ministries., Read more about relevance, Accuracy and reliability, Statistics Denmark have no assessment of the concrete precision of the statistics. Information about this is with the Road Directorate., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every October after the reference period., The statistics is published without delay according to the preannounced time., Read more about timeliness and punctuality, Comparability, In general the statistics is comparable across time. Comparable statistics for the countries within the European Statistical System is available with Eurostat., The is a break in time series with geographical subdivision based on administrative units as a result of the Reform the municipality structure in 2007., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under the topics , Road network, and , Traffic, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/road-network-and-road-traffic

    Documentation of statistics

    Documentation of statistics: Natural gas weekly (experimental statistics)

    Contact info, National Accounts, Climate and Environment , Thomas Eisler , +45 20 56 92 83 , TME@dst.dk , Get documentation of statistics as pdf, Natural gas weekly (experimental statistics) 2022 , Previous versions, The purpose of the experimental weekly statistics on natural gas is to provide an early indicator of trends in consumption of natural gas and the import dependency. The statistics show weekly data on storage and consumption of natural gas in the current year compared to previous years., Statistical presentation, The statistics shows weekly figures for consumption and storage of natural gas., Read more about statistical presentation, Statistical processing, Weekly consumption is calculated as a sum of daily consumption and weekly storage is calculated as an average of daily storage., Read more about statistical processing, Relevance, This statistic has been established as there is a lot of attention to natural gas after the Russian invasion of Ukraine., Read more about relevance, Accuracy and reliability, The statistics is produced in the same way for all weeks. All periods are updated at each publication. There is no expected revisions of data as the source data are collected ongoing., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is made public 3-4 days after the reference period., Read more about timeliness and punctuality, Comparability, The statistics can be compared to the monthly statistics on natural gas from the Danish Energy Agency (DEA). , Read more about comparability, Accessibility and clarity, These statistics are published weekly in the StatBank under the subject , Energy Consumption, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/natural-gas-weekly--experimental-statistics-

    Documentation of statistics

    Multiplier analysis

    As part of testing and analysing the model a set of , standard multipliers, , , first year effects,  and a , collection of examples, is presented with every model version. These give a broad overview of the analysis possibilities of ADAM. Multipliers are used to analyse the effects of economic and political changes.  A demand shock in ADAM affects both production, employment and consumption in the short run. In the long run the effect on employment disappears. In contrast, a supply shock will have a permanent effect on employment. This is in line with most models of small open economies with a fixed exchange rate policy and a Phillips curve. , In principle, there is no automatic monetary or fiscal policy reaction function in ADAM. This aspect should be taken into consideration in the comparison with other economic models. Furthermore the specific danish laws and rules modelled in ADAM could be important when comparing with models for other economies. , For every new model version a series of standard experiments are produced to enable the analysis of the model characteristics. At the same time, the experiments makes it possible to compare the characteristics of the new model version with previous ones. All multiplier analysis are based on a base line representing a solution with respect to the endogenous variables based on a stylized forecast of the exogenous variables. , standard multipliers,  are made by changing one or a few of the exogenous variables and afterward calculating the effect on the endogenous variables. , first year effects,  represents the short run. Focus is especially on fiscal policy and the characteristics are examined by comparing with the previous model version.,  ,  

    https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer

    Households with car

    How many cars are there in each household in the different postcodes and parishes?, Here you can get a simple count of how many cars each household has in all postcodes or parishes in Denmark. You can also see how it has evolved over time as the tables contain data for a 10-year period., Contents in the tables, There is 1 table distributed by postcodes and parishes, respectively, ie. 2 tables in total. The tables contain information on:, The number of households in the postcode or parish, How many households have or do not have a car, respectively, Number of cars in each household (1, 2, 3 or more than 3), The total number of cars in the area., Pt. the tables cover the years 2011-2020., Prices, Each table costs , DKK 6.277 incl. VAT,  (DKK 7.846,25 excl. VAT)., You buy access to all data in a table for 12 months, and will be able to extract data for an unlimited number of times during that period. Access also includes new data if the table is updated during the period (if, for example, data is published for a new year)., You can order access to the individual tables by clicking the button below., ONLINE PAYMENT DATA BANK, Please notice that when you order you accept, Statistics Denmark's General Terms and Conditions of Agreements., Contact information, DST Consulting, tel +45 3917 3600, Tailor-made statistics, It is also possible to combine the tables with other variables or have them combined in a different way than in our standard tables. Read more about our , tailor-made statistics,  or send an email to our consultants at , DST Consulting, ., Other relevant products, Key Figures on Postcodes, Key Figures on Parishes

    https://www.dst.dk/en/TilSalg/produkter/uddannelse-social-og-sundhed/husstande-med-biler