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IFOR11P: Risk of Poverty families

income level, socioeconomic status and time
2000-2024 (Per cent)

https://www.statbank.dk/IFOR11P

Tables in StatBank

REGN20: Accounts statistics

industry, items, size and time
2019-2023 (-)

https://www.statbank.dk/REGN20

Tables in StatBank

Employed persons (RAS)

The register based labour force statistics (RAS) gives the number of employed in Denmark. RAS is very suitable to use when the employment of small groups needs to be clarified and also give access to many different background variables. , 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., Quarterly Labour Force, Register-Based Labour Force Statistics, Key figures, Employed (end November) by time, region and sex, Unit: , Number, Men, Women, 2024, All Denmark, 1,643,356, 1,492,609, Province Byen København, 265,934, 274,769, Province Københavns omegn, 215,892, 173,789, Province Nordsjælland, 101,238, 96,115, Province Bornholm, 9,183, 8,217, Province Østsjælland, 60,261, 56,053, Province Vest- og Sydsjælland, 124,871, 119,563, Province Fyn, 119,762, 114,290, Province Sydjylland, 207,116, 177,057, Province Østjylland, 253,401, 229,507, Province Vestjylland, 122,810, 105,296, Province Nordjylland, 157,733, 137,259, In Statbank Denmark, you can find more data on Employed (end November) (RAS301), Average number of employed by time, region and period, Unit: , Number, 1. quarter, 2. quarter, 3. quarter, 4. quarter, 2024, All Denmark, 3,074,565, 3,120,147, 3,122,604, 3,130,715, Province Byen København, 525,780, 535,321, 533,938, 539,475, Province Københavns omegn, 384,246, 386,293, 384,904, 389,070, Province Nordsjælland, 192,861, 195,925, 196,416, 197,111, Province Bornholm, 17,103, 18,057, 18,589, 17,489, Province Østsjælland, 113,782, 115,298, 115,274, 115,813, Province Vest- og Sydsjælland, 240,651, 244,617, 245,744, 243,946, Province Fyn, 229,628, 233,822, 234,093, 233,703, Province Sydjylland, 377,119, 382,965, 384,050, 383,558, Province Østjylland, 473,582, 479,673, 479,359, 482,203, Province Vestjylland, 225,192, 227,950, 228,462, 227,837, Province Nordjylland, 289,263, 295,022, 295,929, 294,641, In Statbank Denmark, you can find more data on Average number of employed (KAS301), Related content in Employed persons (RAS), 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/beskaeftigelse-og-arbejdsloeshed/beskaeftigede-ras

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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), Population (16-24 years) by NEET status, sex and time, Unit: , Number, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, Active, Men, 301,781, 305,657, 305,669, 303,706, 298,826, 298,390, 302,417, 300,572, 300,866, Women, 291,303, 294,945, 295,446, 294,684, 290,389, 290,053, 292,979, 292,481, 293,013, Not active (NEET), Men, 40,044, 38,668, 37,397, 37,010, 37,540, 33,607, 29,644, 32,700, 33,587, Women, 35,428, 34,104, 32,959, 32,123, 32,272, 27,612, 25,700, 29,098, 29,796, In Statbank Denmark, you can find more data on Population (16-24 years) (NEET1), 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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Classification by sector in the European system of accounts (ESA2010), v1:2014

S.143/S.144: Employees and reciepients of pensions, property income and other transfers

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/esa2010

STRFUDD2: Persons guilty in crimes aged 15-79 years

type of offence, education and time
2015-2024 (Number)

https://www.statbank.dk/STRFUDD2

Tables in StatBank

STRFSOC2: Persons guilty in crimes

type of offence, socioeconomic status and time
2015-2024 (Number)

https://www.statbank.dk/STRFSOC2

Tables in StatBank

Historical national accounts

Introduction to key the concepts Gross Domestic Product (GDP; in Danish: bruttonationalprodukt, BNP), Gross National Income (GNI; in Danish: bruttonationalindkomst

https://www.dst.dk/en/Statistik/emner/oekonomi/nationalregnskab/historisk-nationalregnskab

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Social protection expenditure

How big is the expenditure on social benefits in Denmark? How is the distribution across old-age pensions, sickness benefits and housing benefits?

https://www.dst.dk/en/Statistik/emner/oekonomi/offentlig-oekonomi/sociale-udgifter

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SBS1: Comparative statistics of public libraries

region, key figures and time
2009-2024 (Number)

https://www.statbank.dk/SBS1

Tables in StatBank