Tearer Press Clipping
48 475 € (EUR)/yr
23,31 € (EUR)/hr
766 € (EUR)/yr
The average tearer press clipping gross salary in Luxembourg is 48 475 € or an equivalent hourly rate of 23 €. In addition, they earn an average bonus of 766 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Luxembourg. An entry level tearer press clipping (1-3 years of experience) earns an average salary of 36 246 €. On the other end, a senior level tearer press clipping (8+ years of experience) earns an average salary of 58 635 €.
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ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
52 810 € (EUR)
9 %
Based on our compensation data, the estimated salary potential for Tearer Press Clipping will increase 9 % over 5 years.
Education data not available for this job
Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageLuxembourg ( LUK-səm-burg; Luxembourgish: Lëtzebuerg [ˈlətsəbuəɕ] ; German: Luxemburg [ˈlʊksm̩bʊʁk] ; French: Luxembourg [lyksɑ̃buʁ] ), officially the Grand Duchy of Luxembourg, is a small landlocked country in Western Europe. It is bordered by Belgium to the west and north, Germany to the east, and France to the south. Its capital and most populous city, Luxembourg, is one of the four institutional seats of the European Union (together with Brussels, Frankfurt, and Strasbourg) and the seat of several...
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.