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    Fishery

    Structure and production statistics describes vessels and landings in the Danish fishing fleet. The fleet is populated by all registered Danish fishing vessels. Data on landings describes landings from Danish vessels nationally and internationally. Furthermore landings in Danish ports from vessels of all nationality are also described. Account statistics for fishery describes the economy of the Danish fleet, deriving from the accounts of the vessels. , Introduction, The fleet statistics describes the fleet by number of vessels, tonnage, engine power, type of vessel, vessel length and national region., Landings are described by main species, harbour of landing, regional sea of catch, landed weight, live weight and value of landing., Account statistics for fishery describes the economy by vessel length and year. The costs describes among other thing fuels consumption, landing costs and wages., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Account Statistics for Fishery, Danish Vessels, Landings of fish, Key figures, In Statbank Denmark, you can find more data on Danish vessels (FISK1), In Statbank Denmark, you can find more data on Landings in Denmark (FISK3), In Statbank Denmark, you can find more data on Landings in Denmark (FISK3), In Statbank Denmark, you can find more data on Accounts statistics for fishery (average per unit) (FIREGN2), Related content in Fishery , Tables in Statbank , Scheduled releases , Contact, Charlotte Spliid Hansen, Phone: +45 29 41 97 76, Mail: , chh@dst.dk

    https://www.dst.dk/en/Statistik/emner/erhvervsliv/fiskeri-og-akvakultur/fiskeri

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    Home equity

    The statistics on the real estate of the households include market values on real estate, cooperative apartments and cars. The market value calculated using actual sales on the market. The wealth statistics can be used to identify the characteristics for the owners of real estate. , Introduction, The statistics throw light on the distribution of wealth related to real estate around the country, how it has developed over time and which municipalities that have been hit hardest by the financial crisis. It is possible to carry out a distribution analysis if the statistics is merged with registers containing information on individual’s income, socio-economic, geographic and educational characteristics. , Documentation, The market value on real estate is compiled by merging several administrative registers containing information on real estate. The business register is used to delimit the population to only include individuals and sole proprietorships in the household sector. , Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Market Value for Households Real Estate, Key figures, In Statbank Denmark, you can find more data on Real estate market value (EJDFOE1), In Statbank Denmark, you can find more data on Wealth in real estate and loans for families (EJERFOF1), Related content in Home equity, Tables in Statbank , Scheduled releases , Contact, Mikkel Bjerre Trolle, Phone: +45 29 36 68 25, Mail: , mit@dst.dk

    https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/formue/husholdningernes-formue-i-fast-ejendom

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    All types of overnight accommodation

    These statistics cover the millions of overnight-stays that Danish and foreign guests have at hotels, holiday centers, hostels, campgrounds, as well as holiday homes and marinas in Denmark each year. , Introduction, The statistics are published monthly and annually., The category hotel and holiday centers also include motels, inns, guest houses, holiday centers and hostels. The monthly hotel statistics are calculated from reporting from hotels etc. with at least 40 beds, while the yearly statistics also include reports from hotels etc. with at least 10 beds., The monthly camping sites statistics are calculated from reporting from camping sites with a capacity of at least 75 guests per night, while the yearly statistics include all camping sites with a capacity of at least 10 per night., The statistics for marinas are voluntarily reported between May and September., Holiday houses cover all holiday house rentals with at least 25 houses/apartments available for rental. Holiday houses which are rented privately are not part of the statistics., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Nights spent at hotels, holiday resorts and youth hostels, Key figures, In Statbank Denmark, you can find more data on Overnight stay (TURIST), Related content in All types of overnight accommodation, Tables in Statbank , Scheduled releases , Contact, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk, Nanna Nikander Nonboe-Nygaard, Phone: +45 20 56 39 57, Mail: , nio@dst.dk

    https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/samlede-overnatningsformer

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    Not in Employment, Education or Training (NEET)

    Register-based indicator for the share of young persons from 16-24 years who are not in education, employment, or training (NEET). , Introduction, NEET is an acronym for "Not in Employment, Education or Training", and this set of statistics accounts for the number of young persons from 16-24 years who are not in employment or education. The statistical data period is the last week of November, and a person is categorised as not active (NEET), if he or she is not in employment in that week and is not in education either in that same week as well as the preceding three weeks., The statistics are based on the Labour Market Accounts (LMA) and facilitate the calculation of a NEET indicator based on register data. The statistics have taken inspiration from the NEET indicator, which is defined by Eurostat as well as the OECD, and which is calculated from the interview-based Labour Force Survey (LFS)., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Labour Market Account, Key figures, In Statbank Denmark, you can find more data on Population (16-24 years) (NEET2), Related content in Not in Employment, Education or Training (NEET), Tables in Statbank , Scheduled releases , Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

    https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/befolkningens-arbejdsmarkedsstatus/unge-uden-for-beskaeftigelse-og-uddannelse-neet

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