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industry (DB07) (30) age (7) sex (3) More options... Sort ascending Select all Deselect all 10-grouping TOT Industry, total 1 Agriculture, forestry and fishing A Agriculture, forestry and fishing 2 Manufacturing, mining and quarrying, and utility services B Mining and quarrying C Manufacturing D Electricity, gas, steam and air conditioning supply E Water supply, sewerage and waste management 3 Construction F Construction 4 Trade and transport etc. G Wholesale and retail trade H Transportation I Accommodation and food service activities 5 Information and communication J Information and communication 6 Financial and insurance K Financial and insurance 7 Real estate L Real estate activities 8 Other business services M Knowledge-based services N Travel agent, cleaning, and other operationel services 9 Public administration, education and health O Public administration, defence and compulsory social security P Education Q Human health and social work 10 Arts, entertainment and recration activities R Arts, entertainment and recreation activities S Other service activities etc. More options... Sort ascending Select all Deselect all Age, total 18-19 years 20-29 years 30-39 years 40-49 years 50-59 years 60 year and over More options... Sort ascending Select all Deselect all Men and women, total Men Women components (11) year More options... Sort ascending Select all Deselect all EARNINGS IN DKK PER HOUR WORKED Nuisance bonus and Overtime payment in DKK per hour worked Sickness with pay, etc. in DKK per hour worked Fringe benefits in DKK per hour worked Irregular payments in DKK per hour worked Pension including ATP in DKK per hour worked Basic earnings in DKK per hour worked ..Holiday payments in DKK per hour worked Lower quartile, earnings in DKK per hour worked Median, earnings in DKK per hour worked upper quartile, earnings in DKK per hour worked More options... Sort ascending Select all Deselect all 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 Number of selected data cells for the table: (select max. 10000)

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